Autor Qiu, Meikang
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Documentos disponibles escritos por este autor (14)
Hacer una sugerencia Refinar búsqueda14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I / Qiu, Han ; Zhang, Cheng ; Fei, Zongming ; Qiu, Meikang ; Kung, Sun-Yuan
Título : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XXVII, 710 p. 220 ilustraciones, 189 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82136-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Software de la aplicacion Ciencias sociales Red de computadoras Algoritmos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Redes de comunicación informática Diseño y Análisis de Algoritmos Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Science with Learning and AI (KSLA) -- Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-Sourse Information -- Extracting Prerequisite Relations among Wikipedia Concepts using the Clickstream Data -- Clustering Massive-categories and Complex Documents via Graph Convolutional Network -- Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks -- A Property-based Method for Acquiring Commonsense Knowledge -- Multi-hop Learning promote Cooperation in Multi-agent Systems -- FedPS: Model Aggregation with Pseudo Samples -- Dense Incremental Extreme Learning Machine with Accelerating -- Amount and Proportional Integral Differential -- Knowledge-based Diverse Feature Transformation For Few-shot Relation Classification -- Community Detection In Dynamic Networks: A Novel Deep Learning Method -- Additive Noise Model Structure Learning Based on Rank Statistics -- A MOOCs Recommender System Based onUser's Knowledge Background -- TEBC-Net: An effective relation extraction approach for simple question answering over knowledge graphs -- Representing Knowledge Graphs with Gaussian Mixture Embedding -- A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection -- Named Entity Recognition Based on Reinforcement Learning and Adversarial Training -- Improved Partitioning Graph Embedding Framework for Small Cluster -- A Framework of Data Fusion through Spatio-temporal Knowledge Graph -- SEGAR: Knowledge Graph Augmented Session-based Recommendation -- Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System -- An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application -- GASKT: A Graph-based Attentive Knowledge-Search Model for Knowledge Tracing -- Fragile Neural Network Watermarking with Trigger Image Set -- Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task -- A Research Study on Running Machine Learning Algorithms on Big Data with Spark -- Attentional Neural Factorization Machines for Knowledge Tracing -- Node-Image CAEï¼A Novel Embedding Method via Convolutional Auto-Encoder and High-Order Proximities -- EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning -- Knowledge Distillation via Channel Correlation Structure -- Feature Interaction Convolutional Network for Knowledge Graph Embedding -- Towards a Modular Ontology for Cloud Consumer Review Mining -- Identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes -- Graph Ensemble Networks for Semi-Supervised Embedding Learning -- Rethinking the Information inside Documents for Sentiment Classification -- Dependency Parsing Representation Learning for Open Information Extraction -- Hierarchical Policy Network with Multi-Agent for Knowledge Graph Reasoning Based on Reinforcement Learning -- Inducing Bilingual Word Representations for Non-Isomorphic Spaces by an Unsupervised Way -- A Deep Learning Model Based on Neural Bag-of-words Attention for Sentiment Analysis -- Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion -- Event Relation Reasoning Based on Event Knowledge Graph -- PEN4Rec: Preference Evolution Networks for Session-based Recommendation -- HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere -- TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization -- A Neural Language Understanding for Dialogue State Tracking -- Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer -- Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks -- Entity Alignment between Knowledge Graphs Using Entity Type Matching -- Text-Aware Recommendation Model Based on Multi-Attention Neural Network -- Chinese Named Entity Recognition Based on Gated Graph Neural Network -- Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition -- Incorporating Global Context into Multi-task Learning for Session-based Recommendation -- Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation -- Predicting User Preferences via Heterogeneous Information Network and Metric Learning -- An IoT Ontology Class Recommendation Method Based on Knowledge Graph -- Ride-Sharing Matching of Commuting Private Car using Reinforcement Learning -- Optimization of Remote Desktop with CNN Based Image Compression Model. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part I [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XXVII, 710 p. 220 ilustraciones, 189 ilustraciones en color.
ISBN : 978-3-030-82136-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Software de la aplicacion Ciencias sociales Red de computadoras Algoritmos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Redes de comunicación informática Diseño y Análisis de Algoritmos Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Science with Learning and AI (KSLA) -- Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-Sourse Information -- Extracting Prerequisite Relations among Wikipedia Concepts using the Clickstream Data -- Clustering Massive-categories and Complex Documents via Graph Convolutional Network -- Structure-enhanced Graph Representation Learning for Link Prediction in Signed Networks -- A Property-based Method for Acquiring Commonsense Knowledge -- Multi-hop Learning promote Cooperation in Multi-agent Systems -- FedPS: Model Aggregation with Pseudo Samples -- Dense Incremental Extreme Learning Machine with Accelerating -- Amount and Proportional Integral Differential -- Knowledge-based Diverse Feature Transformation For Few-shot Relation Classification -- Community Detection In Dynamic Networks: A Novel Deep Learning Method -- Additive Noise Model Structure Learning Based on Rank Statistics -- A MOOCs Recommender System Based onUser's Knowledge Background -- TEBC-Net: An effective relation extraction approach for simple question answering over knowledge graphs -- Representing Knowledge Graphs with Gaussian Mixture Embedding -- A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection -- Named Entity Recognition Based on Reinforcement Learning and Adversarial Training -- Improved Partitioning Graph Embedding Framework for Small Cluster -- A Framework of Data Fusion through Spatio-temporal Knowledge Graph -- SEGAR: Knowledge Graph Augmented Session-based Recommendation -- Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System -- An Ensemble Fuzziness-based Online Sequential Learning Approach and Its Application -- GASKT: A Graph-based Attentive Knowledge-Search Model for Knowledge Tracing -- Fragile Neural Network Watermarking with Trigger Image Set -- Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task -- A Research Study on Running Machine Learning Algorithms on Big Data with Spark -- Attentional Neural Factorization Machines for Knowledge Tracing -- Node-Image CAEï¼A Novel Embedding Method via Convolutional Auto-Encoder and High-Order Proximities -- EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning -- Knowledge Distillation via Channel Correlation Structure -- Feature Interaction Convolutional Network for Knowledge Graph Embedding -- Towards a Modular Ontology for Cloud Consumer Review Mining -- Identification of Critical Nodes in Urban Transportation Network through Network Topology and Server Routes -- Graph Ensemble Networks for Semi-Supervised Embedding Learning -- Rethinking the Information inside Documents for Sentiment Classification -- Dependency Parsing Representation Learning for Open Information Extraction -- Hierarchical Policy Network with Multi-Agent for Knowledge Graph Reasoning Based on Reinforcement Learning -- Inducing Bilingual Word Representations for Non-Isomorphic Spaces by an Unsupervised Way -- A Deep Learning Model Based on Neural Bag-of-words Attention for Sentiment Analysis -- Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion -- Event Relation Reasoning Based on Event Knowledge Graph -- PEN4Rec: Preference Evolution Networks for Session-based Recommendation -- HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere -- TroBo: A Novel Deep Transfer Model for Enhancing Cross-project Bug Localization -- A Neural Language Understanding for Dialogue State Tracking -- Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer -- Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks -- Entity Alignment between Knowledge Graphs Using Entity Type Matching -- Text-Aware Recommendation Model Based on Multi-Attention Neural Network -- Chinese Named Entity Recognition Based on Gated Graph Neural Network -- Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition -- Incorporating Global Context into Multi-task Learning for Session-based Recommendation -- Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation -- Predicting User Preferences via Heterogeneous Information Network and Metric Learning -- An IoT Ontology Class Recommendation Method Based on Knowledge Graph -- Ride-Sharing Matching of Commuting Private Car using Reinforcement Learning -- Optimization of Remote Desktop with CNN Based Image Compression Model. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
Título : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XV, 664 p. 65 ilustraciones, 2 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82147-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Software de la aplicacion Gestión de base de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Part II Knowledge Engineering Research and Applications (KERA) -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Joint Entity and Relation Extraction for Long Text -- Evaluating dataset creation heuristics for concept detection in web pages using BERT.-Panoptic-DLA: Doucument Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model -- Improving Answer Type Classification Quality Through Combined Question Answering Datasets -- FOBA: Flight Operation Behavior Analysis Based On Hierarchical Encoding -- An Event Detection Method Combining Temporal Dimension and Position Dimension -- Local Feature Normalization -- Combining Knowledge with Attention Neural Networks for Short Text Classification -- A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation -- An Empirical Study on Effect of Semantic Measures in Cross-domain Recommender System in User Cold-start Scenario -- Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities -- AABC:ALBERT-BiLSTM-CRF combining with Adapters -- Q-learning with Fisher Score for Feature Selection of Large-scale Data Sets -- The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency -- Collaborative Embedding for Knowledge Tracing -- Construction and Analysis of Cross-Regional Emergency Collaboration Network Model -- Residual gated recurrent unit-based stacked network for stock trend prediction from limit order book -- A Social Attribute Inferred Model Based on Spatio-Temporal Data -- Chinese Judicial Abstracting Based on Short Sentence Extraction and GPT-2 -- Extracting Anomalous Pre-Earthquake Signatures from Swarm Satellite Data using EOF and PC analysis -- Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information -- Sememes-based Framework for Knowledge Graph Embedding with Comprehensive-Information -- Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms -- Chinese Event Detection Based on Event Ontology and Siamese Network -- Alzheimer's Disease Prediction Using EfficientNet and Fastai -- Interval Occlusion Calculus with Size Information -- Adaptive Entity Alignment for Cross-lingual Knowledge Graph.-Similarity-Based Heterogeneous Graph Attention Network for Knowledge-Enhanced Recommendation -- Accurate and robust RGB-D visual odometry based on point and line features -- Sentence Extraction-Based Machine Reading Comprehension for Vietnamese -- Analyzing and Recommending Development Order based on Design ClassDiagram -- HCapsNet: A Text Classification Model Based On Hierarchical Capsule Network -- Sentence Matching With Deep Self-Attention and Co-Attention Features -- Not Only the Contextual Semantic Information ï¼A Deep Fusion Sentimental Analysis Model towards Extremely Short Comments -- A Label Noise Robust Cross-Modal Hashing Approach -- Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method -- Learning path recommendation for MOOC platforms based on a knowledge graph -- Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs -- Performance Evaluation of Multi-class Sentiment Classification using Deep Neural Network Models Optimised for Binary Classification.-Discovering Stable Ride-sharing Groups for Commuting Private Car using Spatio-temporal Semantic Similarity -- SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence. . En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part II [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XV, 664 p. 65 ilustraciones, 2 ilustraciones en color.
ISBN : 978-3-030-82147-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Software de la aplicacion Gestión de base de datos Ciencias sociales Visión por computador Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Part II Knowledge Engineering Research and Applications (KERA) -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Pretrain-Transfer Strategy -- English Cloze Test Based on BERT -- An Automatic Method for Understanding Political Polarization through Social Media -- An Improved Convolutional Neural Network Based on Noise Layer -- Syntactic Enhanced Projection Network for Few-shot Chinese Event Extraction -- A Framework of Data Augmentation While Active Learning for Chinese Named Entity Recognition -- Traffic Route Planning in Partially Observable Enviroment Using Actions Group Representation -- Bayesian belief network Model using Sematic Concept for Expert Finding -- Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between -- The Novel Efficient Transformer for NLP -- Joint Entity and Relation Extraction for Long Text -- Evaluating dataset creation heuristics for concept detection in web pages using BERT.-Panoptic-DLA: Doucument Layout Analysis of Historical Newspapers Based on Proposal-Free Panoptic Segmentation Model -- Improving Answer Type Classification Quality Through Combined Question Answering Datasets -- FOBA: Flight Operation Behavior Analysis Based On Hierarchical Encoding -- An Event Detection Method Combining Temporal Dimension and Position Dimension -- Local Feature Normalization -- Combining Knowledge with Attention Neural Networks for Short Text Classification -- A Dialogue Contextual Flow Model for Utterance Intent Recognition in Multi-turn Online Conversation -- An Empirical Study on Effect of Semantic Measures in Cross-domain Recommender System in User Cold-start Scenario -- Community Enhanced Course Concept Recommendation in MOOCs with Multiple Entities -- AABC:ALBERT-BiLSTM-CRF combining with Adapters -- Q-learning with Fisher Score for Feature Selection of Large-scale Data Sets -- The Modularity of Inconsistent Knowledge Bases with Application to Measuring Inconsistency -- Collaborative Embedding for Knowledge Tracing -- Construction and Analysis of Cross-Regional Emergency Collaboration Network Model -- Residual gated recurrent unit-based stacked network for stock trend prediction from limit order book -- A Social Attribute Inferred Model Based on Spatio-Temporal Data -- Chinese Judicial Abstracting Based on Short Sentence Extraction and GPT-2 -- Extracting Anomalous Pre-Earthquake Signatures from Swarm Satellite Data using EOF and PC analysis -- Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information -- Sememes-based Framework for Knowledge Graph Embedding with Comprehensive-Information -- Domain-Specific Sentence Encoder for Intention Recognition in Large-Scale Shopping Platforms -- Chinese Event Detection Based on Event Ontology and Siamese Network -- Alzheimer's Disease Prediction Using EfficientNet and Fastai -- Interval Occlusion Calculus with Size Information -- Adaptive Entity Alignment for Cross-lingual Knowledge Graph.-Similarity-Based Heterogeneous Graph Attention Network for Knowledge-Enhanced Recommendation -- Accurate and robust RGB-D visual odometry based on point and line features -- Sentence Extraction-Based Machine Reading Comprehension for Vietnamese -- Analyzing and Recommending Development Order based on Design ClassDiagram -- HCapsNet: A Text Classification Model Based On Hierarchical Capsule Network -- Sentence Matching With Deep Self-Attention and Co-Attention Features -- Not Only the Contextual Semantic Information ï¼A Deep Fusion Sentimental Analysis Model towards Extremely Short Comments -- A Label Noise Robust Cross-Modal Hashing Approach -- Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method -- Learning path recommendation for MOOC platforms based on a knowledge graph -- Spy The Lie: Fraudulent Jobs Detection in Recruitment Domain using Knowledge Graphs -- Performance Evaluation of Multi-class Sentiment Classification using Deep Neural Network Models Optimised for Binary Classification.-Discovering Stable Ride-sharing Groups for Commuting Private Car using Spatio-temporal Semantic Similarity -- SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence. . En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
Título : 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III Tipo de documento: documento electrónico Autores: Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XV, 690 p. 247 ilustraciones, 177 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82153-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Inteligencia artificial Ciencias sociales Gestión de base de datos Visión por computador Red de computadoras Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Redes de comunicación informática Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Management with Optimization and Security(KMOS) -- An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation -- Context-Aware Anomaly Detection in Attributed Networks -- An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word Errors in Chinese Text -- Traffic Accident Prediction Methods Based on Multi-factor Models -- Combining BERT and Multiple Embedding Methods with the Deep -- Neural Network for Humor Detection -- An Efficient Link Prediction Model in Dynamic Heterogeneous -- Information Networks Based on Multiple Self-attention -- A Clustering-prediction Pipeline for Customer Churn Analysis -- Fine-grained Unbalanced Interaction Network for Visual Question Answering -- Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method -- Integrating Real-time Entity Resolution with Top-N Join Query Processing -- Incorporating Question Information to Enhance the Performance of Automatic Short Answer Grading -- Integrating Task Information into Few-Shot Classifier by Channel Attention -- Rumor Verification on Social Media with Stance-Aware Recursive Tree -- Aspect and Opinion Terms Co-Extraction using Position-Aware Attention and Auxiliary Labels -- Beyond Laplacian Smoothing for Semi-Supervised Community Detection -- Landscape-Enhanced Graph Attention Network for Rumor Detection -- An Overview of Methods for Acquiring and Generating Decision Models -- Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion -- LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder based Attention Mechanism -- DNEA: Dynamic Network Embedding Method for Anomaly Detection -- Adversarial Constraint Evaluation on Biomedical Text Mining -- Enhanced Self-node Weights Based Graph Convolutional Networks for Passenger Flow Prediction -- Interpretation of Learning-based Automatic Source Code Vulnerability Detection Model Using LIME -- Efficient Depth Completion Network based on Dynamic Gated Fusion -- A Blockchain Based Framework for Smart Greenhouse Data Management -- Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge -- CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA -- Image super-resolution based on residual block dense connection -- EGIM: Evolution Graph based Interest Modeling for Click-Through Rate Prediction -- Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data -- Learning Resource Recommendation in E-learning Systems based on Online Learning Style -- Alignment-Based Graph Network for Judicial Examination Task -- Embedding-based Network Alignment Using Neural Tensor Networks -- Detecting Parkinson's Disease according to Gender Using Speech Signals -- Theoretical Study of Exponential Best-Fit: Modeling hCG for Gestational Trophoblastic Disease -- Lane Keeping Algorithm for Autonomous Driving via Safe Reinforcement Learning -- BS-KGS: Blockchain Sharding Empowered Knowledge Graph Storage -- Faster Nonlocal UNet for Cell Segmentation in Microscopy Images -- An Improved YOLO Algorithm for Object Detection in All Day Scenarios -- EMRM: Enhanced Multi-source Review-based Model for Rating Prediction -- Blockchain-as-a-Service Powered Knowledge Graph Construction -- Finetuned YOLOv3 For Getting Four Times The Detection Speed -- A Systematic Approach for maintainable business Process Models -- Improved Evolution Algorithm that Guides the Direction of Individual Mutation for Influence Maximization in Social Networks -- Incorporating Common Knowledge and Specific Entity Linking Knowledge for Machine Reading Comprehension -- Readmission Prediction with Knowledge Graph Attention and RNN-based Ordinary Differential Equations -- Detecting SDCs in GPGPUs through an Efficient Instruction Duplication Mechanism -- GAN-enabled Code Embedding for Reentrant Vulnerabilities Detections -- Attention Based Short-Term Metro Passenger Flow Prediction -- Thematic Analysis of Twitter as a Platform for Knowledge Management -- Cross-chain-based Decentralized Identity for Mortgage Loans -- Blockchain-based Privacy-preserving Medical Data Sharing Scheme Using Federated Learning -- An Edge Trajectory Protection Approach Using Blockchain -- Approach Based on Ontology and Machine Learning for Identifying Causes Affecting Personality Disorder Disease on Twitter -- QBT: Efficient and Flexible Resource Allocation Method for Data Center of State Grid Scenario. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 14th International Conference, KSEM 2021, Tokyo, Japan, August 14–16, 2021, Proceedings, Part III [documento electrónico] / Qiu, Han, ; Zhang, Cheng, ; Fei, Zongming, ; Qiu, Meikang, ; Kung, Sun-Yuan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XV, 690 p. 247 ilustraciones, 177 ilustraciones en color.
ISBN : 978-3-030-82153-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Inteligencia artificial Ciencias sociales Gestión de base de datos Visión por computador Red de computadoras Aplicación informática en ciencias sociales y del comportamiento Computadoras y Educación Redes de comunicación informática Índice Dewey: 006.3 Inteligencia artificial Resumen: Este conjunto de tres volúmenes constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Ciencia, Ingeniería y Gestión del Conocimiento, KSEM 2021, celebrada en Tokio, Japón, en agosto de 2021. Los 164 artículos completos revisados fueron cuidadosamente revisados y seleccionados entre 492 presentaciones. Las contribuciones se organizan en las siguientes secciones temáticas: ciencia del conocimiento con aprendizaje e IA; investigación y aplicaciones de ingeniería del conocimiento; Gestión del conocimiento con optimización y seguridad. Nota de contenido: Knowledge Management with Optimization and Security(KMOS) -- An Adversarial Training Method for Improving Model Robustness in Unsupervised Domain Adaptation -- Context-Aware Anomaly Detection in Attributed Networks -- An Efficient Hybrid Approach to Detecting and Correcting Auxiliary Word Errors in Chinese Text -- Traffic Accident Prediction Methods Based on Multi-factor Models -- Combining BERT and Multiple Embedding Methods with the Deep -- Neural Network for Humor Detection -- An Efficient Link Prediction Model in Dynamic Heterogeneous -- Information Networks Based on Multiple Self-attention -- A Clustering-prediction Pipeline for Customer Churn Analysis -- Fine-grained Unbalanced Interaction Network for Visual Question Answering -- Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method -- Integrating Real-time Entity Resolution with Top-N Join Query Processing -- Incorporating Question Information to Enhance the Performance of Automatic Short Answer Grading -- Integrating Task Information into Few-Shot Classifier by Channel Attention -- Rumor Verification on Social Media with Stance-Aware Recursive Tree -- Aspect and Opinion Terms Co-Extraction using Position-Aware Attention and Auxiliary Labels -- Beyond Laplacian Smoothing for Semi-Supervised Community Detection -- Landscape-Enhanced Graph Attention Network for Rumor Detection -- An Overview of Methods for Acquiring and Generating Decision Models -- Fine-Grained Image Classification Based on Target Acquisition and Feature Fusion -- LogAttn: Unsupervised Log Anomaly Detection with an AutoEncoder based Attention Mechanism -- DNEA: Dynamic Network Embedding Method for Anomaly Detection -- Adversarial Constraint Evaluation on Biomedical Text Mining -- Enhanced Self-node Weights Based Graph Convolutional Networks for Passenger Flow Prediction -- Interpretation of Learning-based Automatic Source Code Vulnerability Detection Model Using LIME -- Efficient Depth Completion Network based on Dynamic Gated Fusion -- A Blockchain Based Framework for Smart Greenhouse Data Management -- Medication Combination Prediction via Attention Neural Networks with Prior Medical Knowledge -- CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA -- Image super-resolution based on residual block dense connection -- EGIM: Evolution Graph based Interest Modeling for Click-Through Rate Prediction -- Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data -- Learning Resource Recommendation in E-learning Systems based on Online Learning Style -- Alignment-Based Graph Network for Judicial Examination Task -- Embedding-based Network Alignment Using Neural Tensor Networks -- Detecting Parkinson's Disease according to Gender Using Speech Signals -- Theoretical Study of Exponential Best-Fit: Modeling hCG for Gestational Trophoblastic Disease -- Lane Keeping Algorithm for Autonomous Driving via Safe Reinforcement Learning -- BS-KGS: Blockchain Sharding Empowered Knowledge Graph Storage -- Faster Nonlocal UNet for Cell Segmentation in Microscopy Images -- An Improved YOLO Algorithm for Object Detection in All Day Scenarios -- EMRM: Enhanced Multi-source Review-based Model for Rating Prediction -- Blockchain-as-a-Service Powered Knowledge Graph Construction -- Finetuned YOLOv3 For Getting Four Times The Detection Speed -- A Systematic Approach for maintainable business Process Models -- Improved Evolution Algorithm that Guides the Direction of Individual Mutation for Influence Maximization in Social Networks -- Incorporating Common Knowledge and Specific Entity Linking Knowledge for Machine Reading Comprehension -- Readmission Prediction with Knowledge Graph Attention and RNN-based Ordinary Differential Equations -- Detecting SDCs in GPGPUs through an Efficient Instruction Duplication Mechanism -- GAN-enabled Code Embedding for Reentrant Vulnerabilities Detections -- Attention Based Short-Term Metro Passenger Flow Prediction -- Thematic Analysis of Twitter as a Platform for Knowledge Management -- Cross-chain-based Decentralized Identity for Mortgage Loans -- Blockchain-based Privacy-preserving Medical Data Sharing Scheme Using Federated Learning -- An Edge Trajectory Protection Approach Using Blockchain -- Approach Based on Ontology and Machine Learning for Identifying Causes Affecting Personality Disorder Disease on Twitter -- QBT: Efficient and Flexible Resource Allocation Method for Data Center of State Grid Scenario. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
Título : 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part I Tipo de documento: documento electrónico Autores: Qiu, Meikang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XXVII, 734 p. 315 ilustraciones ISBN/ISSN/DL: 978-3-030-60245-1 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Matemáticas Ciencias de la Computación Ingeniería Informática Red de computadoras Microprogramación Equipos de entrada y salida de computadora Matemática Computacional y Análisis Numérico Teoría de la Computación Ingeniería Informática y Redes Estructuras de control y microprogramación Entrada/Salida y Comunicaciones de Datos Redes de comunicación informática Índice Dewey: 518 Resumen: Este conjunto de tres volúmenes LNCS 12452, 12453 y 12454 constituye las actas de la 20.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2020, en la ciudad de Nueva York, NY, EE. UU., en octubre de 2020. El total de 142 artículos completos y 5 artículos breves incluidos en los volúmenes de estas actas fueron cuidadosamente revisados y seleccionados entre 495 presentaciones. ICA3PP cubre las muchas dimensiones de arquitecturas y algoritmos paralelos, abarcando enfoques teóricos fundamentales, proyectos experimentales prácticos y componentes y sistemas comerciales. A medida que las aplicaciones de los sistemas informáticos se han extendido a todos los aspectos de la vida diaria, el poder del sistema informático se ha vuelto cada vez más crítico. Esta conferencia proporciona un foro para académicos y profesionales de países de todo el mundo para intercambiar ideas para mejorar la eficiencia, el rendimiento, la confiabilidad, la seguridad y la interoperabilidad de los sistemas y aplicaciones informáticos. ICA3PP 2020 se centra en dos áreas amplias de la computación paralela y distribuida, es decir, arquitecturas, algoritmos y redes, y sistemas y aplicaciones. Nota de contenido: COMBS: First Open-Source based Benchmark Suite for Multi-Physics Simulation Relevant HPC Research -- Efficient Sorting and Join on NVM-Based Hybrid Memory -- Parallel SCC Detection Based on Reusing Warps and Coloring Partitions on GPUs -- Procedure and Loop Level Speculative Parallelism Analysis in HPEC -- CTA: A Critical Task Aware Scheduling Mechanism for Dataflow Architecture -- An Adaptive Thread Partitioning Approach in Speculative Multithreading -- PMC-based dynamic adaptive CPU and DRAM power modeling -- A Multi-threaded Algorithm for Capacity Constrained Assignment over Road Networks -- A Dynamic Scheduling Strategy of ADMM Sub-problem Optimization Algorithm Based on Hierachical Structure -- An Improved Heterogeneous Dynamic List Schedule Algorithm -- FastThetaJoin: An Optimization on Multi-way Data Stream $\theta$-join with Range Constraints -- A Distributed Framework for Online Stream Data Clustering -- End-System Aware Large File Transfer Solution for Rich Media Applications over 5GMobile Networks -- Broad Learning System with Proportional-Integral-Differential Gradient Descent -- Accelerating De Novo Assembler WTDBG2 on Commodity Servers -- Typing Everywhere With EMG Keyboard: A Novel Myo Armband-based HCI Tool -- Accelerating Pattern Matching on Intel Xeon Phi Processors -- Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores -- Performance Optimization for Feature Extraction Section of DeepChem -- Principal Component Analysis Based Fingerprint Positioning -- Priority Based Service Placement Strategy in Heterogeneous Mobile Edge Computing -- VTC: a scheduling framework between soft real-time and hard real-time on multimedia OS -- A BSP Based Approach For NFAs Intersection -- Tight Bound of Parallel Request Latency for Erasure-Coded Distributed Storage System -- High-Performance Simulations on GPUs using Adaptive Time Steps -- Performance Modeling of Stencil Computation on SW26010 Processors -- Optimizing B+-Tree Searches on coupled CPU-GPU architectures -- OCVM: Optimizing the Isolation of Virtual Machines with Open-Channel SSDs -- CANRT: A Client-Active NVM-based Radix Tree for Fast Remote Access -- Distributed and Parallel Ensemble Classification for Big Data Based on Kernel Density Estimation and Random Sample Partition -- SWAF: A Distributed Solar WSN Adaptive Framework -- Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic -- PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations -- Decentralized Expectation Maximization Algorithm -- Towards a Deep-pipelined Architecture for Accelerating Deep GCN on a Multi-FPGA Platform -- Linear Scalability from Sharding and PoS -- Tree2tree Structural Language Modeling for Compiler Fuzzing -- Research and Design of Distribution Equipment Health Early Warning System -- Parallel Processing Algorithms for the Vehicle Routing Problem and its Variants: A Literature Review with a Look into the Future -- Multi-Scaled Non-Local Means Parallel Filters for Medical Image Denoising -- Optimized HybridSketch: More Efficient with Analysis and Algorithm -- An Overlapping Community Detection Algorithm based on Triangle Reduction Weighted for Large-scale Complex Network -- Parallel Belief Propagation Optimized by Coloring on GPUs -- A Multiplatform Parallel Approach for Lattice Sieving Algorithms -- Effect of Evaporation on Aggregation Kinetics of Clusters: A Monte Carlo Simulation Study -- Processing in Memory Assisted MEC 3C Resource Allocation for Computation Offloading -- Beacons Selection Based Localization in Wireless Sensor Networks -- A Periodic Variable Star Observation System with High Accuracy Based on Star Sensors. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part I [documento electrónico] / Qiu, Meikang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXVII, 734 p. 315 ilustraciones.
ISBN : 978-3-030-60245-1
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Matemáticas Ciencias de la Computación Ingeniería Informática Red de computadoras Microprogramación Equipos de entrada y salida de computadora Matemática Computacional y Análisis Numérico Teoría de la Computación Ingeniería Informática y Redes Estructuras de control y microprogramación Entrada/Salida y Comunicaciones de Datos Redes de comunicación informática Índice Dewey: 518 Resumen: Este conjunto de tres volúmenes LNCS 12452, 12453 y 12454 constituye las actas de la 20.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2020, en la ciudad de Nueva York, NY, EE. UU., en octubre de 2020. El total de 142 artículos completos y 5 artículos breves incluidos en los volúmenes de estas actas fueron cuidadosamente revisados y seleccionados entre 495 presentaciones. ICA3PP cubre las muchas dimensiones de arquitecturas y algoritmos paralelos, abarcando enfoques teóricos fundamentales, proyectos experimentales prácticos y componentes y sistemas comerciales. A medida que las aplicaciones de los sistemas informáticos se han extendido a todos los aspectos de la vida diaria, el poder del sistema informático se ha vuelto cada vez más crítico. Esta conferencia proporciona un foro para académicos y profesionales de países de todo el mundo para intercambiar ideas para mejorar la eficiencia, el rendimiento, la confiabilidad, la seguridad y la interoperabilidad de los sistemas y aplicaciones informáticos. ICA3PP 2020 se centra en dos áreas amplias de la computación paralela y distribuida, es decir, arquitecturas, algoritmos y redes, y sistemas y aplicaciones. Nota de contenido: COMBS: First Open-Source based Benchmark Suite for Multi-Physics Simulation Relevant HPC Research -- Efficient Sorting and Join on NVM-Based Hybrid Memory -- Parallel SCC Detection Based on Reusing Warps and Coloring Partitions on GPUs -- Procedure and Loop Level Speculative Parallelism Analysis in HPEC -- CTA: A Critical Task Aware Scheduling Mechanism for Dataflow Architecture -- An Adaptive Thread Partitioning Approach in Speculative Multithreading -- PMC-based dynamic adaptive CPU and DRAM power modeling -- A Multi-threaded Algorithm for Capacity Constrained Assignment over Road Networks -- A Dynamic Scheduling Strategy of ADMM Sub-problem Optimization Algorithm Based on Hierachical Structure -- An Improved Heterogeneous Dynamic List Schedule Algorithm -- FastThetaJoin: An Optimization on Multi-way Data Stream $\theta$-join with Range Constraints -- A Distributed Framework for Online Stream Data Clustering -- End-System Aware Large File Transfer Solution for Rich Media Applications over 5GMobile Networks -- Broad Learning System with Proportional-Integral-Differential Gradient Descent -- Accelerating De Novo Assembler WTDBG2 on Commodity Servers -- Typing Everywhere With EMG Keyboard: A Novel Myo Armband-based HCI Tool -- Accelerating Pattern Matching on Intel Xeon Phi Processors -- Redistributing and Optimizing High-Resolution Ocean Model POP2 to Million Sunway Cores -- Performance Optimization for Feature Extraction Section of DeepChem -- Principal Component Analysis Based Fingerprint Positioning -- Priority Based Service Placement Strategy in Heterogeneous Mobile Edge Computing -- VTC: a scheduling framework between soft real-time and hard real-time on multimedia OS -- A BSP Based Approach For NFAs Intersection -- Tight Bound of Parallel Request Latency for Erasure-Coded Distributed Storage System -- High-Performance Simulations on GPUs using Adaptive Time Steps -- Performance Modeling of Stencil Computation on SW26010 Processors -- Optimizing B+-Tree Searches on coupled CPU-GPU architectures -- OCVM: Optimizing the Isolation of Virtual Machines with Open-Channel SSDs -- CANRT: A Client-Active NVM-based Radix Tree for Fast Remote Access -- Distributed and Parallel Ensemble Classification for Big Data Based on Kernel Density Estimation and Random Sample Partition -- SWAF: A Distributed Solar WSN Adaptive Framework -- Formalizing and Verifying Decentralized Systems with Extended Concurrent Separation Logic -- PRIAG: Proximal Reweighted Incremental Aggregated Gradient Algorithm for Distributed Optimizations -- Decentralized Expectation Maximization Algorithm -- Towards a Deep-pipelined Architecture for Accelerating Deep GCN on a Multi-FPGA Platform -- Linear Scalability from Sharding and PoS -- Tree2tree Structural Language Modeling for Compiler Fuzzing -- Research and Design of Distribution Equipment Health Early Warning System -- Parallel Processing Algorithms for the Vehicle Routing Problem and its Variants: A Literature Review with a Look into the Future -- Multi-Scaled Non-Local Means Parallel Filters for Medical Image Denoising -- Optimized HybridSketch: More Efficient with Analysis and Algorithm -- An Overlapping Community Detection Algorithm based on Triangle Reduction Weighted for Large-scale Complex Network -- Parallel Belief Propagation Optimized by Coloring on GPUs -- A Multiplatform Parallel Approach for Lattice Sieving Algorithms -- Effect of Evaporation on Aggregation Kinetics of Clusters: A Monte Carlo Simulation Study -- Processing in Memory Assisted MEC 3C Resource Allocation for Computation Offloading -- Beacons Selection Based Localization in Wireless Sensor Networks -- A Periodic Variable Star Observation System with High Accuracy Based on Star Sensors. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
Título : 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part II Tipo de documento: documento electrónico Autores: Qiu, Meikang, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XV, 732 p. 401 ilustraciones, 204 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-60239-0 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Matemáticas Ciencias de la Computación Ingeniería Informática Red de computadoras Matemática Computacional y Análisis Numérico Teoría de la Computación Ingeniería Informática y Redes Índice Dewey: 518 Resumen: Este conjunto de tres volúmenes LNCS 12452, 12453 y 12454 constituye las actas de la 20.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2020, en la ciudad de Nueva York, NY, EE. UU., en octubre de 2020. El total de 142 artículos completos y 5 artículos breves incluidos en los volúmenes de estas actas fueron cuidadosamente revisados y seleccionados entre 495 presentaciones. ICA3PP cubre las muchas dimensiones de arquitecturas y algoritmos paralelos, abarcando enfoques teóricos fundamentales, proyectos experimentales prácticos y componentes y sistemas comerciales. A medida que las aplicaciones de los sistemas informáticos se han extendido a todos los aspectos de la vida diaria, el poder del sistema informático se ha vuelto cada vez más crítico. Esta conferencia proporciona un foro para académicos y profesionales de países de todo el mundo para intercambiar ideas para mejorar la eficiencia, el rendimiento, la confiabilidad, la seguridad y la interoperabilidad de los sistemas y aplicaciones informáticos. ICA3PP 2020 se centra en dos amplias áreas de computación paralela y distribuida, es decir, arquitecturas, algoritmos y redes, y sistemas y aplicaciones. Nota de contenido: Distributing Data in Real Time Spatial Data Warehouse -- Accelerating Sparse Convolutional Neural Networks Based on Dataflow Architecture -- DAFEE: A Scalable Distributed Automatic Feature Engineering Algorithm for Relational Datasets -- Embedding Augmented Cubes into Grid Networks for Minimum Wirelength -- ELVMC: A predictive energy-aware algorithm for virtual machine consolidation in cloud computing -- Design of a convolutional neural network instruction set based on RISC-V and its microarchitecture implementation -- Optimizing accelerator on FPGA for Deep Convolutional Neural Networks -- HpQC: A new efficient quantum computing simulator -- Outsourced Privacy-Preserving Reduced SVM among Multiple Institutions -- A Distributed Business-aware Storage Execution Environment Towards Large-scale Applications -- QoS-Aware and Fault-Tolerant Replica Placement -- Neural network compression and acceleration by federated pruning -- Scalable Aggregation Service for Satellite Remote Sensing Data -- Edge-assisted Federated Learning: An Empirical Study from Software Decomposition Perspective -- A Dynamic Partitioning Framework for Edge-assisted Cloud Computing -- An OpenMP-based Parallel Execution of Neural Networks Specified in NNEF -- Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities -- A Novel Clustering-based Filter Pruning Method for Efficient Deep Neural Networks -- Fast Segmentation-based Object Tracking Model for Autonomous Vehicles -- Defending Adversarial Examples in Computer Vision based on Data Augmentation Techniques -- User Recruitment with Budget Redistribution in Edge-aided Mobile Crowdsensing -- Multi-user Service Migration for Mobile Edge Computing Empowered Connected and Autonomous Vehicles -- A Precise Telecom Customer Tariff Promotion Method Based on Multi-route Radial Basis Kernel Fuzzy C-means Clustering -- Clustering by Unified Principal Component Analysis and Fuzzy c-means with Sparsity Constraint -- A Hierarchical-Tree-based Method for Generative Zero-Shot Learning -- Fast Computation of the Exact Number of Magic Series with an Improved Montgomery Multiplication Algorithm -- I am Smartglasses, and I can Assist Your Reading -- CHEAPS2AGA: Bounding Space Usage in Variance-Reduced Stochastic Gradient Descent over Streaming Data and its Asynchronous Parallel Variants -- A Quantum Computer Operating System -- Dynamic Knowledge Graph Completion with Jointly Structural and Textual Dependency -- MEFE: A Multi-fEature Knowledge Fusion and Evaluation method based on BERT -- Comparative Analysis of Three Kinds of Laser SLAM Algorithms -- Aspect-level Sentiment Difference Feature Interaction Matching Model based on Multi-round Decision Mechanism -- Horus: An Interference-aware Resource Manager for Deep Learning Systems -- Attribute Bagging-Based Extreme Learning Machine -- A Semi-Supervised Joint Entity and Relation Extraction Model Based on Tagging Scheme and Information Gain -- Research Progress of Zero-Shot Learning Beyond Computer Vision -- An Optimization of Deep Sensor Fusion Based on Generalized Intersection over Union -- A Hot/Cold Task Partition for Energy-efficient Neural Network Deployment on Heterogeneous Edge Device -- Towards energy efficient architecture for spaceborne Neural Networks computation -- Roda: A Flexible Framework for Real-time On-demand Data Aggregation -- Structured Data Encoder for Neural Networks Based on Gradient Boosting Decision Tree -- Stochastic Model-based Quantitative Analysis of Edge UPF Service Dependability -- QoE Estimation of DASH-based Mobile Video Application using Deep Reinforcement Learning -- Modeling and Analyzing for Data Durability Towards Cloud Storage Services -- CC-MOEA: A Parallel Multi-objective Evolutionary Algorithm for Recommendation Systems -- CS-Dict: Accurate Indoor Localization with CSI Selective Amplitude and Phase based Regularized Dictionary Learning -- Recommendation with Temporal Dynamics Based on Sequence Similarity Search -- A Software Stack for Composable Cloud Robotics System. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2–4, 2020, Proceedings, Part II [documento electrónico] / Qiu, Meikang, . - 1 ed. . - [s.l.] : Springer, 2020 . - XV, 732 p. 401 ilustraciones, 204 ilustraciones en color.
ISBN : 978-3-030-60239-0
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Matemáticas Ciencias de la Computación Ingeniería Informática Red de computadoras Matemática Computacional y Análisis Numérico Teoría de la Computación Ingeniería Informática y Redes Índice Dewey: 518 Resumen: Este conjunto de tres volúmenes LNCS 12452, 12453 y 12454 constituye las actas de la 20.ª Conferencia Internacional sobre Algoritmos y Arquitecturas para Procesamiento Paralelo, ICA3PP 2020, en la ciudad de Nueva York, NY, EE. UU., en octubre de 2020. El total de 142 artículos completos y 5 artículos breves incluidos en los volúmenes de estas actas fueron cuidadosamente revisados y seleccionados entre 495 presentaciones. ICA3PP cubre las muchas dimensiones de arquitecturas y algoritmos paralelos, abarcando enfoques teóricos fundamentales, proyectos experimentales prácticos y componentes y sistemas comerciales. A medida que las aplicaciones de los sistemas informáticos se han extendido a todos los aspectos de la vida diaria, el poder del sistema informático se ha vuelto cada vez más crítico. Esta conferencia proporciona un foro para académicos y profesionales de países de todo el mundo para intercambiar ideas para mejorar la eficiencia, el rendimiento, la confiabilidad, la seguridad y la interoperabilidad de los sistemas y aplicaciones informáticos. ICA3PP 2020 se centra en dos amplias áreas de computación paralela y distribuida, es decir, arquitecturas, algoritmos y redes, y sistemas y aplicaciones. Nota de contenido: Distributing Data in Real Time Spatial Data Warehouse -- Accelerating Sparse Convolutional Neural Networks Based on Dataflow Architecture -- DAFEE: A Scalable Distributed Automatic Feature Engineering Algorithm for Relational Datasets -- Embedding Augmented Cubes into Grid Networks for Minimum Wirelength -- ELVMC: A predictive energy-aware algorithm for virtual machine consolidation in cloud computing -- Design of a convolutional neural network instruction set based on RISC-V and its microarchitecture implementation -- Optimizing accelerator on FPGA for Deep Convolutional Neural Networks -- HpQC: A new efficient quantum computing simulator -- Outsourced Privacy-Preserving Reduced SVM among Multiple Institutions -- A Distributed Business-aware Storage Execution Environment Towards Large-scale Applications -- QoS-Aware and Fault-Tolerant Replica Placement -- Neural network compression and acceleration by federated pruning -- Scalable Aggregation Service for Satellite Remote Sensing Data -- Edge-assisted Federated Learning: An Empirical Study from Software Decomposition Perspective -- A Dynamic Partitioning Framework for Edge-assisted Cloud Computing -- An OpenMP-based Parallel Execution of Neural Networks Specified in NNEF -- Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Cities -- A Novel Clustering-based Filter Pruning Method for Efficient Deep Neural Networks -- Fast Segmentation-based Object Tracking Model for Autonomous Vehicles -- Defending Adversarial Examples in Computer Vision based on Data Augmentation Techniques -- User Recruitment with Budget Redistribution in Edge-aided Mobile Crowdsensing -- Multi-user Service Migration for Mobile Edge Computing Empowered Connected and Autonomous Vehicles -- A Precise Telecom Customer Tariff Promotion Method Based on Multi-route Radial Basis Kernel Fuzzy C-means Clustering -- Clustering by Unified Principal Component Analysis and Fuzzy c-means with Sparsity Constraint -- A Hierarchical-Tree-based Method for Generative Zero-Shot Learning -- Fast Computation of the Exact Number of Magic Series with an Improved Montgomery Multiplication Algorithm -- I am Smartglasses, and I can Assist Your Reading -- CHEAPS2AGA: Bounding Space Usage in Variance-Reduced Stochastic Gradient Descent over Streaming Data and its Asynchronous Parallel Variants -- A Quantum Computer Operating System -- Dynamic Knowledge Graph Completion with Jointly Structural and Textual Dependency -- MEFE: A Multi-fEature Knowledge Fusion and Evaluation method based on BERT -- Comparative Analysis of Three Kinds of Laser SLAM Algorithms -- Aspect-level Sentiment Difference Feature Interaction Matching Model based on Multi-round Decision Mechanism -- Horus: An Interference-aware Resource Manager for Deep Learning Systems -- Attribute Bagging-Based Extreme Learning Machine -- A Semi-Supervised Joint Entity and Relation Extraction Model Based on Tagging Scheme and Information Gain -- Research Progress of Zero-Shot Learning Beyond Computer Vision -- An Optimization of Deep Sensor Fusion Based on Generalized Intersection over Union -- A Hot/Cold Task Partition for Energy-efficient Neural Network Deployment on Heterogeneous Edge Device -- Towards energy efficient architecture for spaceborne Neural Networks computation -- Roda: A Flexible Framework for Real-time On-demand Data Aggregation -- Structured Data Encoder for Neural Networks Based on Gradient Boosting Decision Tree -- Stochastic Model-based Quantitative Analysis of Edge UPF Service Dependability -- QoE Estimation of DASH-based Mobile Video Application using Deep Reinforcement Learning -- Modeling and Analyzing for Data Durability Towards Cloud Storage Services -- CC-MOEA: A Parallel Multi-objective Evolutionary Algorithm for Recommendation Systems -- CS-Dict: Accurate Indoor Localization with CSI Selective Amplitude and Phase based Regularized Dictionary Learning -- Recommendation with Temporal Dynamics Based on Sequence Similarity Search -- A Software Stack for Composable Cloud Robotics System. En línea: https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Link: https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i
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