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Autor Huang, Zhi-Kai |
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Crear una solicitud de compra Refinar búsqueda15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II / Huang, De-Shuang ; Jo, Kang-Hyun ; Huang, Zhi-Kai
TÃtulo : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Jo, Kang-Hyun, ; Huang, Zhi-Kai, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXI, 790 p. 323 ilustraciones, 243 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26969-2 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: Estructuras aritméticas y lógicas BiologÃa Computacional y de Sistemas TeorÃa de la Computación Inteligencia artificial Visión por computador Unidades aritméticas y lógicas informáticas Informática Bioinformática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artÃculos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying -- A Discrete Particle Swarm Optimization for PairwiseSequence Alignment -- A Diversity based Competitive Multi-Objective PSO for Feature Selection -- A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization -- CBLNER: a multi-models biomedical named entity recognition system based on machine learning -- Dice Loss in Siamese Network for Visual Object Tracking -- Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid -- Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene Expression Programming and Wavelet Transform -- Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron -- Identifying differentially expressed genes based on differentially expressed edges -- Gene functional module discovery via integrating geneexpression and PPI network data -- A novel framework for improving the prediction of disease-associated microRNAs -- Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences -- Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions -- Simulation of Complex neural firing patterns based on improved deterministic Chay model -- Knowledge based helix angle and residue distance restraint free energy terms of GPCRs -- Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data -- A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis -- An effective approach of measuring disease similarities based on the DNN regression model -- Herb Pair Danggui-Baishao:Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach -- End-to-end learning based compound activity prediction using binding pocket information -- A novel approach for predicting lncRNA-disease associations by structural perturbation method -- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations -- A link and Weight-Based Ensemble Clustering for Patient Stratification -- HGMDA:HyperGraph for Predicting MiRNA-disease Association -- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score -- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction -- Distinguishing driver missense mutations from benign polymorphisms in breast cancer -- A novel method to predict protein regions driving cancer through integration of multi-omics data -- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information -- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest -- Prediction of human lncRNAs based on integrated information entropy features -- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel -- A Novel Approach to predicting miRNA-disease associations -- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites -- Motif discovery via convolutional networks with k-mer embedding -- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2 -- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers -- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations -- A prediction method of DNA-binding proteins based on evolutionary information -- Research on RNA Secondary Structure Prediction Based on Decision Tree -- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN -- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram -- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins -- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information -- Research on HP Model Optimization Method Based on Reinforcement Learning -- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data -- Regulatory sequence architecture of stress responsive genes in (Oryza sativa) -- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning -- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies -- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model -- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis -- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model -- CNN and Metadata for classification of benign and malignant melanomas -- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets -- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds -- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier -- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source -- Evaluating CNNs for Military Target Recognition -- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease -- Research of Formal Analysis Based on Extended Strand Space Theories -- The Application of Artificial Intelligence in Music Education -- Single-machine green scheduling problem of multi-speed machine -- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan -- Water Wave Optimization for the Multidimensional Knapsack Problem -- A Complex-valued Firefly Algorithm -- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm -- MPdeep: the medical procession with deep learning -- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning -- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors -- Electrocardiogram Diagnosis Based on SMOTE＋ENN and Random Forest -- Complex leaves classification with features extractor -- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part II [documento electrónico] / Huang, De-Shuang, ; Jo, Kang-Hyun, ; Huang, Zhi-Kai, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXI, 790 p. 323 ilustraciones, 243 ilustraciones en color.
ISBN : 978-3-030-26969-2
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: Estructuras aritméticas y lógicas BiologÃa Computacional y de Sistemas TeorÃa de la Computación Inteligencia artificial Visión por computador Unidades aritméticas y lógicas informáticas Informática Bioinformática Clasificación: 006.37 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artÃculos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Particle Swarm Optimization-based Power Allocation Scheme for Secrecy Sum Rate Maximization in NOMA with Cooperative Relaying -- A Discrete Particle Swarm Optimization for PairwiseSequence Alignment -- A Diversity based Competitive Multi-Objective PSO for Feature Selection -- A Decomposition-based Hybrid Estimation of Distribution Algorithm for Practical Mean-CVaR Portfolio Optimization -- CBLNER: a multi-models biomedical named entity recognition system based on machine learning -- Dice Loss in Siamese Network for Visual Object Tracking -- Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid -- Precipitation Modeling and Prediction Based on Fuzzy-control Multi-cellular Gene Expression Programming and Wavelet Transform -- Integrative Enrichment Analysis of Intra- and Inter- Tissues' Differentially Expressed Genes Based on Perceptron -- Identifying differentially expressed genes based on differentially expressed edges -- Gene functional module discovery via integrating geneexpression and PPI network data -- A novel framework for improving the prediction of disease-associated microRNAs -- Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences -- Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions -- Simulation of Complex neural firing patterns based on improved deterministic Chay model -- Knowledge based helix angle and residue distance restraint free energy terms of GPCRs -- Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data -- A Novel Weight Learning Approach Based on Density for Accurate Prediction of Atherosclerosis -- An effective approach of measuring disease similarities based on the DNN regression model -- Herb Pair Danggui-Baishao:Pharmacological Mechanisms Underlying Primary Dysmenorrhea by Network Pharmacology Approach -- End-to-end learning based compound activity prediction using binding pocket information -- A novel approach for predicting lncRNA-disease associations by structural perturbation method -- Improved Inductive Matrix Completion Method for Predicting MicroRNA-Disease Associations -- A link and Weight-Based Ensemble Clustering for Patient Stratification -- HGMDA:HyperGraph for Predicting MiRNA-disease Association -- Discovering Driver Mutation Profiles in Cancer with A Local Centrality Score -- LRMDA: Using Logistic Regression and Random Walk with Restart for MiRNA-Disease Association Prediction -- Distinguishing driver missense mutations from benign polymorphisms in breast cancer -- A novel method to predict protein regions driving cancer through integration of multi-omics data -- In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information -- Effective Analysis of Hot Spots in Hub Protein Interfaces Based on Random Forest -- Prediction of human lncRNAs based on integrated information entropy features -- A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel -- A Novel Approach to predicting miRNA-disease associations -- Hierarchical Attention Network for Predicting DNA-Protein Binding Sites -- Motif discovery via convolutional networks with k-mer embedding -- Whole-Genome Shotgun Sequence of Natronobacterium Gregoryi SP2 -- The detection of gene modules with overlapping characteristic via integrating multi-omics data in six cancers -- Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations -- A prediction method of DNA-binding proteins based on evolutionary information -- Research on RNA Secondary Structure Prediction Based on Decision Tree -- Improving hot region prediction by combining gaussian naïve Bayes and DBSCAN -- An efficient LightGBM model to predict protein selfinteracting using Chebyshev moments and bi-gram -- Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-Interacting Proteins -- Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information -- Research on HP Model Optimization Method Based on Reinforcement Learning -- EnsembleKQC: An Unsupervised Ensemble Learning Method for Quality Control of Single Cell RNA-seq Sequencing Data -- Regulatory sequence architecture of stress responsive genes in (Oryza sativa) -- Identifying Cancer Biomarkers from High-throughput RNA sequencing Data by Machine Learning -- Identification of prognostic and heterogeneous breast cancer biomarkers based on fusion network and multiple scoring strategies -- A Novel Differential Essential Genes Prediction Method Based on Random Forests Model -- Identification of candidate biomarkers and pathways associated with liver cancer by bioinformatics analysis -- Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model -- CNN and Metadata for classification of benign and malignant melanomas -- An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data sets -- Fully Convolutional Neural Networks for 3D Vehicle Detection based on Point Clouds -- Illegally Parked Vehicle Detection Based on Haar-Cascade Classifier -- Graph-SLAM Based Hardware-in-the-loop-simulation for Unmanned Aerial Vehicles Using Gazebo and PX4 open source -- Evaluating CNNs for Military Target Recognition -- Detection and Segmentation of Kidneys from Magnetic Resonance Images in Patients with Autosomal Dominant Polycystic Kidney Disease -- Research of Formal Analysis Based on Extended Strand Space Theories -- The Application of Artificial Intelligence in Music Education -- Single-machine green scheduling problem of multi-speed machine -- Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan -- Water Wave Optimization for the Multidimensional Knapsack Problem -- A Complex-valued Firefly Algorithm -- Gene Expression Prediction Based on Hybrid Evolutionary Algorithm -- MPdeep: the medical procession with deep learning -- Predicting potential Drug-Target Interactions with Multi-label learning and ensemble learning -- Robust Circulating Tumor Cells Detection in Scanned Microscopic Images with Cascaded Morphological and Faster R-CNN Deep Detectors -- Electrocardiogram Diagnosis Based on SMOTE＋ENN and Random Forest -- Complex leaves classification with features extractor -- IDP - OPTICS: Improvement of Differential Privacy Algorithm in Data Histogram Publishing Based on Density Clustering. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part III Tipo de documento: documento electrónico Autores: Huang, De-Shuang, ; Huang, Zhi-Kai, ; Hussain, Abir, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXI, 812 p. 396 ilustraciones, 284 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-26766-7 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 Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado MinerÃa de datos y descubrimiento de conocimientos Sistemas de reconocimiento de patrones Procesamiento de datos Ordenador Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artÃculos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Flower Species Recognition System Combining Object Detection and Attention Mechanism -- A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor -- A New Hybrid Calibration Method for Robot Manipulators by Combining Model–Based Identification Technique and A Radial Basis Function–Based Error Compensation -- Smart Wheelchair Maneuvering Among People -- A human-robot interaction system based on calling hand gestures -- A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional Neural Networks -- Person Re-identification Based On Feature Fusion -- Exploiting Local Shape Information for Cross-Modal Person Re-identification -- Single and Multi-channel Direct Visual Odometry with Binary Descriptors -- Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical Processing Unit and Central Processing unit -- Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment -- Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH -- Learning Automata-based Solutions to the Multi-Elevator Problem -- Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of IoT -- Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive Radial Basis Function Neural Network -- Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer for Robotic Manipulators -- Intelligent Bus Shunt Control System Based on Face Recognition -- Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices -- Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object Partitioning -- Research on Location Prediction of Moving Objects Based on Grey Markov Model -- Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization and BP Neural Network -- Exploring the pan-relationship between disease and symptom related to coronary heart disease from Chinese electronic medical records -- The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Pack-age Electro-Hydraulic Actuator -- The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied To Mini Mo-tion Package Electro-Hydraulic Actuator -- A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter -- Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural Network with BatchNormalization -- Real Implementation of an Active Fault Tolerant Control based on Super Twisting Technique for a Robot Manipulator -- Credibility Assessment of Complex Simulation Models using Cloud Models to Represent and Aggregate Diverse Evaluation Results -- Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations -- Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds.-A New Manifold-based Feature Extraction Method -- lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding -- Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep Learning -- Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest -- A Novel Compression Algorithm forHardware-Oriented Gradient Boosting DecisionTree Classification Model -- MISSIM: improved miRNA-disease association prediction model based on Chaos Game Representation and Broad Learning System -- Univariate Thiele type continued fractions rational interpolation with parameters -- Data Science approaches for the analysis of animal behaviours -- An algorithm of bidirectional RNN for offline handwritten Chinese text -- A Novel Concise Representation of Frequent Subtrees Based on Density -- Ranking Research Institutions Based on the Combination of Individual and Network Features -- Chinese Temporal Expression Recognition Combining Rules with a Statistical model -- An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column -- A selection method for denoising auto encoder features using cross entropy -- Data Lineage Approach of Multi-Version Documents Traceability in Complex Software Engineering -- Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario -- A Fuzzy Constraint Based Method for Outlier Detection -- Chinese Agricultural Entity Relation Extraction via Deep Learning -- Dimensions Effect in Word Embeddings of Knowledge Graph -- Short text mapping based on fast clustering using minimum spanning trees -- Missing Data Imputation for Operation Data of Transformer Based on Functional Principal Component Analysis and Wavelet Transform -- Periodic Action Temporal Location Method Based on Two-Path Architecture for Product Counting in Sewing Video -- Investigating the Capability of Agile processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations -- Age Group Detection in Stochastic Gas Smart Meter Data using Decision-Tree Learning -- Non-directional learning strategy particle swarm optimization algorithm -- An Improved Social Learning Particle Swarm Optimization Algorithm with Selected Learning -- An Integrated Classification Algorithm Using Forecasting Probability Strategies for Mobile App Statistics -- An improved PSO algorithm with an area-oriented learning strategy -- An Improved PSO Algorithm with Migration Behavior and Asynchronous Varying Acceleration Coefï¬cient -- Data Clustering Using the Cooperative Search based Artificial Bee Colony Algorithm -- Feature Selection using a Reinforcement-Behaved Brain Storm Optimization -- Shuffle Single Shot Detector -- Feasibility of a non-immersive virtual reality training on functional living skills applied to person with major neurocognitive disorder -- Design and development of a robotic platform based on virtual reality scenarios and wearable sensors for upper limb rehabilitation and visuomotor coordination -- Depth-Awareness in a System for Mixed-RealityAided Surgical Procedures -- An Innovative Neural Network Framework For Glomerulus Classification Based On Morphological And Texture Features Evaluated In Histological Images Of Kidney Biopsy -- Evaluating generalization capability of Bio-inspired models for a myoelectric control: a pilot study -- A Survey on Deep Learning in Electromyographic Signal Analysis -- Occluded Object Classification with Assistant Unit -- Water Wave Optimization for Flow-Shop Scheduling -- The Implementation of Pretrained AlexNet On PCG Classification -- Power supply and its expert system for cold welding of aluminum and magnesium sheet metal. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 15th International Conference, ICIC 2019, Nanchang, China, August 3–6, 2019, Proceedings, Part III [documento electrónico] / Huang, De-Shuang, ; Huang, Zhi-Kai, ; Hussain, Abir, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXI, 812 p. 396 ilustraciones, 284 ilustraciones en color.
ISBN : 978-3-030-26766-7
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 Sistemas de propósito especial y basados ​​en aplicaciones Reconocimiento de patrones automatizado MinerÃa de datos y descubrimiento de conocimientos Sistemas de reconocimiento de patrones Procesamiento de datos Ordenador Clasificación: 006.3 Resumen: Este conjunto de dos volúmenes de LNCS 11643 y LNCS 11644 constituye, junto con el volumen LNAI 11645, las actas arbitradas de la 15.ª Conferencia Internacional sobre Computación Inteligente, ICIC 2019, celebrada en Nanchang, China, en agosto de 2019. Los 217 artÃculos completos de los tres volúmenes de actas fueron cuidadosamente revisados ​​y seleccionados entre 609 presentaciones. El tema ICIC unifica la imagen de las técnicas de computación inteligente contemporáneas como un concepto integral que destaca las tendencias en inteligencia computacional avanzada y une la investigación teórica con las aplicaciones. El tema de esta conferencia es "MetodologÃas y aplicaciones de computación inteligente avanzada". Se solicitan especialmente artÃculos relacionados con este tema, incluidas teorÃas, metodologÃas y aplicaciones en ciencia y tecnologÃa. Nota de contenido: Flower Species Recognition System Combining Object Detection and Attention Mechanism -- A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor -- A New Hybrid Calibration Method for Robot Manipulators by Combining Model–Based Identification Technique and A Radial Basis Function–Based Error Compensation -- Smart Wheelchair Maneuvering Among People -- A human-robot interaction system based on calling hand gestures -- A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional Neural Networks -- Person Re-identification Based On Feature Fusion -- Exploiting Local Shape Information for Cross-Modal Person Re-identification -- Single and Multi-channel Direct Visual Odometry with Binary Descriptors -- Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical Processing Unit and Central Processing unit -- Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment -- Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH -- Learning Automata-based Solutions to the Multi-Elevator Problem -- Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of IoT -- Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive Radial Basis Function Neural Network -- Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer for Robotic Manipulators -- Intelligent Bus Shunt Control System Based on Face Recognition -- Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices -- Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object Partitioning -- Research on Location Prediction of Moving Objects Based on Grey Markov Model -- Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization and BP Neural Network -- Exploring the pan-relationship between disease and symptom related to coronary heart disease from Chinese electronic medical records -- The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Pack-age Electro-Hydraulic Actuator -- The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied To Mini Mo-tion Package Electro-Hydraulic Actuator -- A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter -- Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural Network with BatchNormalization -- Real Implementation of an Active Fault Tolerant Control based on Super Twisting Technique for a Robot Manipulator -- Credibility Assessment of Complex Simulation Models using Cloud Models to Represent and Aggregate Diverse Evaluation Results -- Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations -- Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds.-A New Manifold-based Feature Extraction Method -- lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding -- Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep Learning -- Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest -- A Novel Compression Algorithm forHardware-Oriented Gradient Boosting DecisionTree Classification Model -- MISSIM: improved miRNA-disease association prediction model based on Chaos Game Representation and Broad Learning System -- Univariate Thiele type continued fractions rational interpolation with parameters -- Data Science approaches for the analysis of animal behaviours -- An algorithm of bidirectional RNN for offline handwritten Chinese text -- A Novel Concise Representation of Frequent Subtrees Based on Density -- Ranking Research Institutions Based on the Combination of Individual and Network Features -- Chinese Temporal Expression Recognition Combining Rules with a Statistical model -- An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column -- A selection method for denoising auto encoder features using cross entropy -- Data Lineage Approach of Multi-Version Documents Traceability in Complex Software Engineering -- Resource Efficiency Optimization for Big Data Mining Algorithm with Multi-MapReduce Collaboration Scenario -- A Fuzzy Constraint Based Method for Outlier Detection -- Chinese Agricultural Entity Relation Extraction via Deep Learning -- Dimensions Effect in Word Embeddings of Knowledge Graph -- Short text mapping based on fast clustering using minimum spanning trees -- Missing Data Imputation for Operation Data of Transformer Based on Functional Principal Component Analysis and Wavelet Transform -- Periodic Action Temporal Location Method Based on Two-Path Architecture for Product Counting in Sewing Video -- Investigating the Capability of Agile processes to Support Medical Devices Regulations: The Case of XP, Scrum, and FDD with EU MDR Regulations -- Age Group Detection in Stochastic Gas Smart Meter Data using Decision-Tree Learning -- Non-directional learning strategy particle swarm optimization algorithm -- An Improved Social Learning Particle Swarm Optimization Algorithm with Selected Learning -- An Integrated Classification Algorithm Using Forecasting Probability Strategies for Mobile App Statistics -- An improved PSO algorithm with an area-oriented learning strategy -- An Improved PSO Algorithm with Migration Behavior and Asynchronous Varying Acceleration Coefï¬cient -- Data Clustering Using the Cooperative Search based Artificial Bee Colony Algorithm -- Feature Selection using a Reinforcement-Behaved Brain Storm Optimization -- Shuffle Single Shot Detector -- Feasibility of a non-immersive virtual reality training on functional living skills applied to person with major neurocognitive disorder -- Design and development of a robotic platform based on virtual reality scenarios and wearable sensors for upper limb rehabilitation and visuomotor coordination -- Depth-Awareness in a System for Mixed-RealityAided Surgical Procedures -- An Innovative Neural Network Framework For Glomerulus Classification Based On Morphological And Texture Features Evaluated In Histological Images Of Kidney Biopsy -- Evaluating generalization capability of Bio-inspired models for a myoelectric control: a pilot study -- A Survey on Deep Learning in Electromyographic Signal Analysis -- Occluded Object Classification with Assistant Unit -- Water Wave Optimization for Flow-Shop Scheduling -- The Implementation of Pretrained AlexNet On PCG Classification -- Power supply and its expert system for cold welding of aluminum and magnesium sheet metal. Tipo de medio : Computadora Summary : This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is "Advanced Intelligent Computing Methodologies and Applications." Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
