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International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-44-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis -- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex -- Conditional Diffusion Model-Based Data Augmentation for Alzheimer’s Prediction -- Design of dissolved oxygen online controller based on adaptive dynamic programming theory -- Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method -- Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying “Dispersed, Disordered, and Polluting” Sites Based on Power Consumption Data -- Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory -- Prediction of TP in effluent at multiple scales based on ESN -- Application of WOA-SVM based algorithm in tumor cell detection research -- MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features -- Self-Attention-Based Reconstruction for Planetary Magnetic Field -- Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection -- Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting -- Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation -- Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems -- An enhanced subregion dominance relation for evolutionary many-objective optimization -- A stacked autoencoder based meta-learning model for global optimization -- Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions -- Analysis of the impact of regional customer charging on the grid under the aggregator model -- Indicators directed multi-strategy artificial bee colony algorithm -- Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network -- Artificial bee colony based on adaptive search strategies and elite selection mechanism -- Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization -- Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization -- Complementary environmental selection for evolutionary many-objective optimization -- An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer -- A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization -- An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection -- Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage -- Sequential Seeding Initialization for SNIC Superpixels -- Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification -- A twin learning evolutionary algorithm for capacitated vehicle routing problem -- Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot -- Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property -- Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control -- A multi-style interior floor plan design approach based on generative adversarial networks -- Linear Model-based Optimal VVC Intercoding Rate Control Scheme -- Detection and analysis of hanging basket wire rope broken strands based on Mallat algorithm -- PointAF: A Novel Semantic Segmentation Network for Point Cloud -- Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions -- Research on crack identification of Highway Asphalt Pavement Based on deep learning. |
| Record Nr. | UNISA-996547960703316 |
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (627 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-47-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning-driven pattern recognition, computer vision and its industrial applications: Improved YOLOv5s Based Steel Leaf Spring Identification -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A Lightweight Sensor Fusion for Neraul Visual Inertial Odometry -- A Two-stage Framework for Kidney Segmentation in Ultrasound Images -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications -- Physical-property Guided End-to-End Interactive Image Dehazing Network -- A Clothing Classification Network with Manifold Structure Based on Second-order Convolution -- Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs -- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm -- Natural language processing, knowledge graphs, recommender systems, and their applications: An Enhanced Model based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases -- Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-Attention Mechanism -- MAMF: A Multi-level Attention-based Multimodal Fusion Model for Medical Visual Question Answering -- ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-Intent Detection and Slot Filling -- A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection -- A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost -- Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis -- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition -- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion -- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain -- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks -- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction -- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach -- A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation -- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS -- An adaptive clustering approach for efficient data dissemination in IoV -- Strategy determination for multiple USVs: a min-max Q-learning approach -- Urban Emergency Logistics Planning optimization model considering priority under COVID-19 -- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks -- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules -- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching -- Student-Centered Education in Metaverse: Transforming the Language Listening Curriculum -- A Positive-Negative Dual-View Model for Knowledge Tracing -- A Study of Chinese-English Translation Teaching Based on Data Mining -- Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications -- Novel TD-based adaptive control for nonlinearly parameterized stochastic systems -- A Data-Driven Intermediate Estimator-Based Approach for Collaborative Fault-Tolerant Tracking Control of Multi-Agent Systems -- Anomaly detection and alarm limit design for in-hole bit bounce based on interval augmented Mahalanobis distance -- Other Neural computing-related topics -- A neural approach towards real-time management for integrated energy system incorporating carbon trading and electrical vehicle scheduling -- Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models -- Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification -- SFDA:Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. |
| Record Nr. | UNISA-996547952803316 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-44-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis -- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex -- Conditional Diffusion Model-Based Data Augmentation for Alzheimer’s Prediction -- Design of dissolved oxygen online controller based on adaptive dynamic programming theory -- Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method -- Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying “Dispersed, Disordered, and Polluting” Sites Based on Power Consumption Data -- Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory -- Prediction of TP in effluent at multiple scales based on ESN -- Application of WOA-SVM based algorithm in tumor cell detection research -- MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features -- Self-Attention-Based Reconstruction for Planetary Magnetic Field -- Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection -- Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting -- Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation -- Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems -- An enhanced subregion dominance relation for evolutionary many-objective optimization -- A stacked autoencoder based meta-learning model for global optimization -- Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions -- Analysis of the impact of regional customer charging on the grid under the aggregator model -- Indicators directed multi-strategy artificial bee colony algorithm -- Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network -- Artificial bee colony based on adaptive search strategies and elite selection mechanism -- Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization -- Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization -- Complementary environmental selection for evolutionary many-objective optimization -- An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer -- A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization -- An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection -- Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage -- Sequential Seeding Initialization for SNIC Superpixels -- Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification -- A twin learning evolutionary algorithm for capacitated vehicle routing problem -- Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot -- Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property -- Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control -- A multi-style interior floor plan design approach based on generative adversarial networks -- Linear Model-based Optimal VVC Intercoding Rate Control Scheme -- Detection and analysis of hanging basket wire rope broken strands based on Mallat algorithm -- PointAF: A Novel Semantic Segmentation Network for Point Cloud -- Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions -- Research on crack identification of Highway Asphalt Pavement Based on deep learning. |
| Record Nr. | UNINA-9910743691003321 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (627 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-47-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning-driven pattern recognition, computer vision and its industrial applications: Improved YOLOv5s Based Steel Leaf Spring Identification -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A Lightweight Sensor Fusion for Neraul Visual Inertial Odometry -- A Two-stage Framework for Kidney Segmentation in Ultrasound Images -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications -- Physical-property Guided End-to-End Interactive Image Dehazing Network -- A Clothing Classification Network with Manifold Structure Based on Second-order Convolution -- Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs -- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm -- Natural language processing, knowledge graphs, recommender systems, and their applications: An Enhanced Model based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases -- Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-Attention Mechanism -- MAMF: A Multi-level Attention-based Multimodal Fusion Model for Medical Visual Question Answering -- ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-Intent Detection and Slot Filling -- A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection -- A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost -- Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis -- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition -- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion -- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain -- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks -- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction -- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach -- A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation -- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS -- An adaptive clustering approach for efficient data dissemination in IoV -- Strategy determination for multiple USVs: a min-max Q-learning approach -- Urban Emergency Logistics Planning optimization model considering priority under COVID-19 -- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks -- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules -- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching -- Student-Centered Education in Metaverse: Transforming the Language Listening Curriculum -- A Positive-Negative Dual-View Model for Knowledge Tracing -- A Study of Chinese-English Translation Teaching Based on Data Mining -- Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications -- Novel TD-based adaptive control for nonlinearly parameterized stochastic systems -- A Data-Driven Intermediate Estimator-Based Approach for Collaborative Fault-Tolerant Tracking Control of Multi-Agent Systems -- Anomaly detection and alarm limit design for in-hole bit bounce based on interval augmented Mahalanobis distance -- Other Neural computing-related topics -- A neural approach towards real-time management for integrated energy system incorporating carbon trading and electrical vehicle scheduling -- Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models -- Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification -- SFDA:Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. |
| Record Nr. | UNINA-9910743687703321 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Computing for Advanced Applications [[electronic resource] ] : First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings / / edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao
| Neural Computing for Advanced Applications [[electronic resource] ] : First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings / / edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 528 p. 222 illus., 160 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computers Computer science—Mathematics Application software Education—Data processing Computer organization Artificial Intelligence Information Systems and Communication Service Mathematics of Computing Computer Appl. in Social and Behavioral Sciences Computers and Education Computer Systems Organization and Communication Networks |
| ISBN | 981-15-7670-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adaptive Multiple-view Label Propagation for Semi-Supervised Classication -- Container Damage Identication based on Fmask-RCNN -- Multiagent Reinforcement Learning for Combinatorial Optimization -- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller -- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution -- Reliable neighbors-based Collaborative Filtering for Recommendation Systems -- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules -- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems -- Mengh Generalized Locally-linear embedding: A Neural Network Implementation -- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine -- Tailored Pruning via Rollback Learning -- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks -- Latent Sparse Discriminative Learning for Face Image Set Classication -- Sparse multi-task least-squares support vector machine -- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment -- A Recognition Method of Hand Gesture based on Dual-SDAE -- Image Generation from Layout via Pair-wise RaGAN -- Learning Unsupervised Video Summarization with Semantic-consistent Network -- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables -- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making -- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning -- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph -- Deep K-Means: A Simple and Eective Method for Data Clustering -- Brain Storm Optimization Algorithms: A Brief Review -- A Binary Superior Tracking Articial Bee Colony for Feature Selection -- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication -- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model -- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning -- Disaggregated Power System Signal Recognition using Capsule Network -- Design of echo state network with coordinate descent method and l1 regularization -- An advanced actor-critic algorithm for training video game AI -- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass -- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs -- Design optimization of plate-n heat exchanger using sine cosine algorithm -- Mr-ResNeXt:A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea -- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games -- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction -- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture -- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks -- Privacy Sensitive Large-Margin Model for Face De-identication -- Balancing of Bike-sharing networks via constrained model predictive control -- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm -- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition. |
| Record Nr. | UNISA-996465443903316 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Neural Computing for Advanced Applications : First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings / / edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao
| Neural Computing for Advanced Applications : First International Conference, NCAA 2020, Shenzhen, China, July 3–5, 2020, Proceedings / / edited by Haijun Zhang, Zhao Zhang, Zhou Wu, Tianyong Hao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 528 p. 222 illus., 160 illus. in color.) |
| Disciplina | 006.32 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computers Computer science—Mathematics Application software Education—Data processing Computer organization Artificial Intelligence Information Systems and Communication Service Mathematics of Computing Computer Appl. in Social and Behavioral Sciences Computers and Education Computer Systems Organization and Communication Networks |
| ISBN | 981-15-7670-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Adaptive Multiple-view Label Propagation for Semi-Supervised Classication -- Container Damage Identication based on Fmask-RCNN -- Multiagent Reinforcement Learning for Combinatorial Optimization -- Extended Kalman Filter-Based Adaptively Sliding Mode Control with Dead-Zone Compensator for An Anchor-Hole Driller -- Exploring Multi-scale Deep Encoder-decoder and PatchGAN for Perceptual Ultrasound Image Super-resolution -- Reliable neighbors-based Collaborative Filtering for Recommendation Systems -- Downhole condition identication for geological drilling processes based on qualitative trend analysis and expert rules -- Adaptive Neural Network Control for Double-Pendulum Tower Crane Systems -- Mengh Generalized Locally-linear embedding: A Neural Network Implementation -- Semi-supervised Feature Selection Using Sparse Laplacian Support Vector Machine -- Tailored Pruning via Rollback Learning -- Coordinative Hyper-Heuristic Resource Scheduling in Mobile Cellular Networks -- Latent Sparse Discriminative Learning for Face Image Set Classication -- Sparse multi-task least-squares support vector machine -- Discriminative Subspace Learning for Cross-view Classication with Simultaneous Local and Global Alignment -- A Recognition Method of Hand Gesture based on Dual-SDAE -- Image Generation from Layout via Pair-wise RaGAN -- Learning Unsupervised Video Summarization with Semantic-consistent Network -- Sustainable Competitiveness Evaluation for Container Liners Using a Novel Hybrid Method with Intuitionistic Fuzzy Linguistic Variables -- 2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making -- Cross-Modal N-Pair Network for Generalized Zero-Shot Learning -- A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph -- Deep K-Means: A Simple and Eective Method for Data Clustering -- Brain Storm Optimization Algorithms: A Brief Review -- A Binary Superior Tracking Articial Bee Colony for Feature Selection -- A Hybrid Neural Network RBERT-C based on Pre-trained RoBERTa and CNN for User Intent Classication -- Image Registration Algorithm Based on Manifold Regularization with Thin-plate Spline Model -- Optimal Control of Nonlinear Time-delay Systems with Input Constraints Using Reinforcement Learning -- Disaggregated Power System Signal Recognition using Capsule Network -- Design of echo state network with coordinate descent method and l1 regularization -- An advanced actor-critic algorithm for training video game AI -- Neural Network-Based Adaptive Control for EMS Type Maglev Vehicle Systems with Time-Varying Mass -- A Novel Collision-Avoidance TDMA MAC Protocol for Fog-assisted VCNs -- Design optimization of plate-n heat exchanger using sine cosine algorithm -- Mr-ResNeXt:A Multi-resolution Network Architecture for Detection of Obstructive Sleep Apnea -- Scalable Multi-Agent Reinforcement Learning Architecture for Semi-MDP Real-Time Strategy Games -- Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction -- Multi-period Distributed Delay-sensitive Tasks Ooading in a Two-layer Vehicular Fog Computing Architecture -- Template-Enhanced Aspect Term Extraction with Bi-contextual Convolutional Neural Networks -- Privacy Sensitive Large-Margin Model for Face De-identication -- Balancing of Bike-sharing networks via constrained model predictive control -- RLV Reentry Trajectory Optimization Design Based on Improved Differential Evolution Algorithm -- A Tree-structure Convolutional Neural Network for Temporal Features Exaction on Sensor-based Multi-resident Activity Recognition. |
| Record Nr. | UNINA-9910427720603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||