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Autor Cai, Jun |
Documentos disponibles escritos por este autor (3)
Crear una solicitud de compra Refinar búsquedaAdvances in Brain Inspired Cognitive Systems / Ren, Jinchang ; Hussain, Amir ; Zhao, Huimin ; Huang, Kaizhu ; Zheng, Jiangbin ; Cai, Jun ; Chen, Rongjun ; Xiao, Yinyin
TÃtulo : Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / Tipo de documento: documento electrónico Autores: Ren, Jinchang, ; Hussain, Amir, ; Zhao, Huimin, ; Huang, Kaizhu, ; Zheng, Jiangbin, ; Cai, Jun, ; Chen, Rongjun, ; Xiao, Yinyin, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XVI, 595 p. 340 ilustraciones, 176 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-39431-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Inteligencia artificial Visión por computador Red de computadoras Sistemas de reconocimiento de patrones Software de la aplicacion Redes de comunicación informática Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Décima Conferencia Internacional sobre Avances en Sistemas Cognitivos Inspirados en el Cerebro, BICS 2019, celebrada en Guangzhou, China, en julio de 2019. Los 57 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: computación neuronal; sistemas de inspiración biológica; reconocimiento de imágenes: detección, seguimiento y clasificación; y análisis de datos y procesamiento del lenguaje natural. Nota de contenido: Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Advances in Brain Inspired Cognitive Systems : 10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings / [documento electrónico] / Ren, Jinchang, ; Hussain, Amir, ; Zhao, Huimin, ; Huang, Kaizhu, ; Zheng, Jiangbin, ; Cai, Jun, ; Chen, Rongjun, ; Xiao, Yinyin, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVI, 595 p. 340 ilustraciones, 176 ilustraciones en color.
ISBN : 978-3-030-39431-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Inteligencia artificial Visión por computador Red de computadoras Sistemas de reconocimiento de patrones Software de la aplicacion Redes de comunicación informática Reconocimiento de patrones automatizado Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Décima Conferencia Internacional sobre Avances en Sistemas Cognitivos Inspirados en el Cerebro, BICS 2019, celebrada en Guangzhou, China, en julio de 2019. Los 57 artÃculos presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados entre 129 presentaciones. Los artÃculos están organizados en secciones temáticas denominadas: computación neuronal; sistemas de inspiración biológica; reconocimiento de imágenes: detección, seguimiento y clasificación; y análisis de datos y procesamiento del lenguaje natural. Nota de contenido: Neural Computation -- Biologically Inspired Systems -- Image Recognition: Detection, Tracking and Classification -- Data Analysis and Natural Language Processing. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part I / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVIII, 501 p. 76 ilustraciones ISBN/ISSN/DL: 978-981-1674761-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Inteligencia artificial Red de computadoras Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: BSMRL: Bribery Selfish Mining with Reinforcement Learning -- The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector -- A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid -- MB Based Multi-dividing Ontology Learning Trick -- Application of LSTM model optimized based on adaptive genetic algorithm in stock forecasting -- A Network based Quantitative Method for the Mining and Visualization of Music Influence -- Research on Off-path Exploits of Network Protocols -- Building A Covert Timing Channel over VoIP via Packet Length -- Bone marrow cell segmentation based on improved U-Net -- An improved unsupervised white blood cell classification via contrastive learning -- High-altitude pedestrian detection based on improved YOLOv3 -- Automatic Identification for Projector Brand and Model Number -- SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model -- Intrusion detection based on GA-XGB Algorithm -- A video axle counting and type recognition method based on improved YOLOv5S -- An anonymous communication scheme between nodes based on pseudonym and bilinear pairing in big data environments -- A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory -- A secure aggregation routing protocol with authentication and energy-saving on data mining and big data -- Enity relation extraction of industrial robot PHM based on BiLSTM-CRF and multi-head selection -- An Agricultural Traceability Permissioned Blockchain with Privacy-aware -- Trust Evaluation Mechanism of Service Nodes Based on Blockchain -- Irregular Flight Timetable Recovery under COVID-19: An Approach Based on Genetic Algorithm -- A Transfer Learning Method Based on ResNet Model -- Performance Prediction and Fine-grained Resource Provision of Virtual Machines via LightGBM -- A Semantic Retrieval Method Based on the Knowledge Graph of Ethnic Clothing Culture -- Fine-grained Semantic Segmentation of National Costume Grayscale Image Based on Human Parsing -- Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism -- Semantic Similarity Retrieval System Based on The Chinese Minority Dictionary Wa Volume -- Short-term Traffic Condition Prediction based on Multi[1]source Data Fusion -- Chinese Named Entity Recognition Incorporating Multi-scale Features -- Analysis on the Strategies of Information Technology to Improve Autonomous Learning in Higher Vocational English Teaching -- A Data Model Construction Method Based on the Questionnaire Survey -- Automatic Coloring Method for Ethnic Costume Sketch based on Pix2Pix Network -- Multi-Model Fusion Based NOx Emission Prediction For Power Plant Boilers -- Multi-axis industrial robot fault diagnosis model based on improved one-dimensional convolutional neural network -- Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit -- Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method -- A label propagation algorithm combining eigenvector centrality and label entropy -- MI-HGRU: A Combine Method of Mutual Information and HGRU Neural Network for Boiler NOx Emission Prediction -- An MOEA/D-ACO Algorithm with finite pheromone weights for Bi-objective TTP -- Lightweight Object Tracking Algorithm based on Siamese Network with Efficient Attention. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part I / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVIII, 501 p. 76 ilustraciones.
ISBN : 978-981-1674761--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Inteligencia artificial Red de computadoras Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: BSMRL: Bribery Selfish Mining with Reinforcement Learning -- The Theoretical Analysis of Multi-dividing Ontology Learning by Rademacher Vector -- A Group Blind Signature Scheme for Privacy Protection of Power Big Data in Smart Grid -- MB Based Multi-dividing Ontology Learning Trick -- Application of LSTM model optimized based on adaptive genetic algorithm in stock forecasting -- A Network based Quantitative Method for the Mining and Visualization of Music Influence -- Research on Off-path Exploits of Network Protocols -- Building A Covert Timing Channel over VoIP via Packet Length -- Bone marrow cell segmentation based on improved U-Net -- An improved unsupervised white blood cell classification via contrastive learning -- High-altitude pedestrian detection based on improved YOLOv3 -- Automatic Identification for Projector Brand and Model Number -- SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model -- Intrusion detection based on GA-XGB Algorithm -- A video axle counting and type recognition method based on improved YOLOv5S -- An anonymous communication scheme between nodes based on pseudonym and bilinear pairing in big data environments -- A Novel Complex Pignistic Belief Transform for Conflict Measure in Complex Evidence Theory -- A secure aggregation routing protocol with authentication and energy-saving on data mining and big data -- Enity relation extraction of industrial robot PHM based on BiLSTM-CRF and multi-head selection -- An Agricultural Traceability Permissioned Blockchain with Privacy-aware -- Trust Evaluation Mechanism of Service Nodes Based on Blockchain -- Irregular Flight Timetable Recovery under COVID-19: An Approach Based on Genetic Algorithm -- A Transfer Learning Method Based on ResNet Model -- Performance Prediction and Fine-grained Resource Provision of Virtual Machines via LightGBM -- A Semantic Retrieval Method Based on the Knowledge Graph of Ethnic Clothing Culture -- Fine-grained Semantic Segmentation of National Costume Grayscale Image Based on Human Parsing -- Named Entity Recognition of Wa Cultural Information Resources Based on Attention Mechanism -- Semantic Similarity Retrieval System Based on The Chinese Minority Dictionary Wa Volume -- Short-term Traffic Condition Prediction based on Multi[1]source Data Fusion -- Chinese Named Entity Recognition Incorporating Multi-scale Features -- Analysis on the Strategies of Information Technology to Improve Autonomous Learning in Higher Vocational English Teaching -- A Data Model Construction Method Based on the Questionnaire Survey -- Automatic Coloring Method for Ethnic Costume Sketch based on Pix2Pix Network -- Multi-Model Fusion Based NOx Emission Prediction For Power Plant Boilers -- Multi-axis industrial robot fault diagnosis model based on improved one-dimensional convolutional neural network -- Prediction of Oil Temperature for Transformers Using Gated Recurrent Unit -- Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method -- A label propagation algorithm combining eigenvector centrality and label entropy -- MI-HGRU: A Combine Method of Mutual Information and HGRU Neural Network for Boiler NOx Emission Prediction -- An MOEA/D-ACO Algorithm with finite pheromone weights for Bi-objective TTP -- Lightweight Object Tracking Algorithm based on Siamese Network with Efficient Attention. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part II / Tipo de documento: documento electrónico Autores: Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XVIII, 501 p. 219 ilustraciones, 173 ilustraciones en color. ISBN/ISSN/DL: 978-981-1675027-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Software de la aplicacion Red de computadoras Inteligencia artificial Protección de datos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Seguridad de datos e información Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: A life prediction method for power supply in rail transit signal system under variable temperature conditions -- Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning -- On-line Firmware Updating and Fingerprint Generating for Solid State Disks -- Feature Map Transfer: Vertical Federated Learning for CNN Models -- A Random Multi-target Backdooring Attack on Deep Neural Networks -- Intelligent Attack Behavior Portrait For Path Planning Of Unmanned Vehicles -- Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning -- A surface fitting image super-resolution algorithm based on triangle mesh partition -- Image Definition Evaluation Function Based on Improved Maximum Local Variation and Focusing Window Selection -- A classic multi-method collaborative obfuscation strategy -- The construction of knowledge graph for personalized online teaching -- A BP neural network prediction method based on multi-strategy improved sparrow search algorithm -- LDA topic mining of light food customer reviews on the Meituan platform -- MIFNet:A Lightweight Multi-scale Information Fusion Network -- Intrusion Detection Method Based on Small Sample Learning -- Research on Hierarchical Retrieval Method of Ethnic Clothing Based on Semantic Feature Fusion -- An Improved Method of Blockchain Consortium Chain Consensus Mechanism Based on Random Forest Model -- Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices -- BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization -- A Generalized χ2 Divergence for Multisource Information Fusion -- Certificateless proxy authentication scheme on lattices under the background of big data -- A Privacy-Preserving Anime Recommendation Method on Distributed Platform -- Compound fault diagnosis of industrial robot based on improved multi-label one-dimensional convolutional neural network -- A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning -- A lattice-based anonymous authentication for privacy protection of medical data -- Defend against poisoning attacks in federated learning -- SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing -- Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology -- Population Learning based Memetic Algorithm for Community Detection in Complex Networks -- An Improved Bacterial Foraging Optimization for Global Optimization -- A security data sharing model for cloud network -- A Dynamic Compression Method for Database Backup Files in Cloud Environments -- Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning -- A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification -- FAA Transition Away From Radar and Towards ADS-B Aircraft Communication-Based on Accuracy -- A New Contingency Axiomatic System For Rough sets -- Health index construction and remaining useful life prediction of mechanical axis based on action cycle similarity -- Approximation Relation For Rough Sets -- The effect of organizational learning ability on innovative behavior of scientific research personnel in universities -- ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing -- Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems -- ACT: anonymous consensus based on Tor -- Medical Image Fusion Based on Undecimated Dual-tree Complex Wavelet Transform and NSCT -- A Multi-branch Ensemble Agent Network for Multi-Agent Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Data Mining and Big Data : 6th International Conference, DMBD 2021, Guangzhou, China, October 20–22, 2021, Proceedings, Part II / [documento electrónico] / Tan, Ying, ; Shi, Yuhui, ; Zomaya, Albert, ; Yan, Hongyang, ; Cai, Jun, . - 1 ed. . - Singapore [Malasia] : Springer, 2021 . - XVIII, 501 p. 219 ilustraciones, 173 ilustraciones en color.
ISBN : 978-981-1675027--
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Software de la aplicacion Red de computadoras Inteligencia artificial Protección de datos Aplicaciones informáticas y de sistemas de información Redes de comunicación informática Seguridad de datos e información Clasificación: 005.3 Ciencia de los computadores (Programas) Resumen: Este conjunto de dos volúmenes, CCIS 1453 y CCIS 1454, constituye actas arbitradas de la 6.ª Conferencia Internacional sobre MinerÃa de Datos y Big Data, DMBD 2021, celebrada en Guangzhou, China, en octubre de 2021. Los 57 artÃculos completos y 28 artÃculos breves presentados en Este conjunto de dos volúmenes fue cuidadosamente revisado y seleccionado entre 258 presentaciones. Los artÃculos presentan las últimas investigaciones sobre las ventajas de las teorÃas, tecnologÃas y aplicaciones en minerÃa de datos y big data. El volumen cubre muchos aspectos de la minerÃa de datos y big data, asà como métodos de computación inteligente aplicados a todos los campos de la informática, el aprendizaje automático, la minerÃa de datos y el descubrimiento de conocimientos, la ciencia de datos, etc. Nota de contenido: A life prediction method for power supply in rail transit signal system under variable temperature conditions -- Hypergraph Ontology Sparse Vector Representation and Its Application to Ontology Learning -- On-line Firmware Updating and Fingerprint Generating for Solid State Disks -- Feature Map Transfer: Vertical Federated Learning for CNN Models -- A Random Multi-target Backdooring Attack on Deep Neural Networks -- Intelligent Attack Behavior Portrait For Path Planning Of Unmanned Vehicles -- Anti Intelligent Mine Unmanned Ground Vehicle Based on Reinforcement Learning -- A surface fitting image super-resolution algorithm based on triangle mesh partition -- Image Definition Evaluation Function Based on Improved Maximum Local Variation and Focusing Window Selection -- A classic multi-method collaborative obfuscation strategy -- The construction of knowledge graph for personalized online teaching -- A BP neural network prediction method based on multi-strategy improved sparrow search algorithm -- LDA topic mining of light food customer reviews on the Meituan platform -- MIFNet:A Lightweight Multi-scale Information Fusion Network -- Intrusion Detection Method Based on Small Sample Learning -- Research on Hierarchical Retrieval Method of Ethnic Clothing Based on Semantic Feature Fusion -- An Improved Method of Blockchain Consortium Chain Consensus Mechanism Based on Random Forest Model -- Traceable Identity-Based Ring Signature for Protecting Mobile IoT Devices -- BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization -- A Generalized χ2 Divergence for Multisource Information Fusion -- Certificateless proxy authentication scheme on lattices under the background of big data -- A Privacy-Preserving Anime Recommendation Method on Distributed Platform -- Compound fault diagnosis of industrial robot based on improved multi-label one-dimensional convolutional neural network -- A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning -- A lattice-based anonymous authentication for privacy protection of medical data -- Defend against poisoning attacks in federated learning -- SOBC: A Smart Ocean Oriented Blockchain System for Cross-organizational Data Sharing -- Personalized Recommendation System of Web Academic Information Based on Big Data and Quality Monitoring Technology -- Population Learning based Memetic Algorithm for Community Detection in Complex Networks -- An Improved Bacterial Foraging Optimization for Global Optimization -- A security data sharing model for cloud network -- A Dynamic Compression Method for Database Backup Files in Cloud Environments -- Research on Fault Detection and Diagnosis Method of Diesel Engine Air System Based on Deep Learning -- A Multi-objective Structure Variant Bacterial Heuristic Feature Selection Method in High-dimensional Data Classification -- FAA Transition Away From Radar and Towards ADS-B Aircraft Communication-Based on Accuracy -- A New Contingency Axiomatic System For Rough sets -- Health index construction and remaining useful life prediction of mechanical axis based on action cycle similarity -- Approximation Relation For Rough Sets -- The effect of organizational learning ability on innovative behavior of scientific research personnel in universities -- ABAC: Anonymous Bilateral Access Control Protocol with Traceability for Fog-Assisted Mobile Crowdsensing -- Sector Error-Oriented Durability-Aware Fast Repair in Erasure-Coded Cloud Storage Systems -- ACT: anonymous consensus based on Tor -- Medical Image Fusion Based on Undecimated Dual-tree Complex Wavelet Transform and NSCT -- A Multi-branch Ensemble Agent Network for Multi-Agent Reinforcement Learning. Tipo de medio : Computadora Summary : This two-volume set, CCIS 1453 and CCIS 1454, constitutes refereed proceedings of the 6th International Conference on Data Mining and Big Data, DMBD 2021, held in Guangzhou, China, in October 2021. The 57 full papers and 28 short papers presented in this two-volume set were carefully reviewed and selected from 258 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
