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4G Femtocells : Resource Allocation and Interference Management / / by Haijun Zhang, Xiaoli Chu, Xiangming Wen
| 4G Femtocells : Resource Allocation and Interference Management / / by Haijun Zhang, Xiaoli Chu, Xiangming Wen |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (85 p.) |
| Disciplina | 621.382 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Electrical engineering
Computer networks Computer system failures Communications Engineering, Networks Computer Communication Networks System Performance and Evaluation |
| ISBN | 1-4614-9080-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to 4G Femtocells -- Ant Colony Algorithm (ACA) based Downlink Resource Allocation in Femtocells -- Cross-Tier Interference Pricing based Uplink Resource Allocation in Two-Tier Networks -- Resource Allocation in Femtocells with Cross-Tier Interference Limits -- Energy Efficient Power Control in Femtocells with Interference Pricing -- Differentiated-Pricing based Power Allocation in Dense Femtocell Networks -- Conclusions and Future Works. |
| Record Nr. | UNINA-9910437589003321 |
Zhang Haijun
|
||
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Deep Learning in Wireless Communications / / by Haijun Zhang, Ning Yang
| Deep Learning in Wireless Communications / / by Haijun Zhang, Ning Yang |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (149 pages) |
| Disciplina | 621.384 |
| Altri autori (Persone) | YangNing |
| Soggetto topico |
Wireless communication systems
Mobile communication systems Computational intelligence Artificial intelligence Wireless and Mobile Communication Computational Intelligence Artificial Intelligence |
| ISBN |
9789819763146
9819763142 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Intelligence Wireless Communication -- Cognitive Spectrum Intelligence -- Learning Resource Allocation Optimization -- Transmission Intelligence -- Learning Traffic and Mobility Prediction -- Software Defined Networking -- Security in Wireless Communication -- 6G Driving Applications with Deep Learning. |
| Record Nr. | UNINA-9910983490203321 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
9789819958443
981995844X |
| 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 -- Predictionof 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 |
9789819958474
9819958474 |
| 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 MemoryModel 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 LevelData 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 : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part II / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He
| Neural Computing for Advanced Applications : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part II / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (367 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
LiXianxian
HaoTianyong MengWeizhi WuZhou HeQian |
| 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 |
9789819770045
9819770041 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. -- Path planning of mobile robot with improved RRT algorithm. -- Adaptive allocation method of terminal container parameters based on evolutionary game. -- Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-based Proximal Policy Optimization with Rollback. -- Anomaly Detection of Residential Electricity Consumption Based on Ensemble Model of PSO-AE-XGBOOST. -- Hybrid neuro-fuzzy modeling for electricity consump-tion Prediction in middle-income Gauteng, South Afri-ca: utilizing fuzzy c-means method. -- Differential Evolution Algorithm Based on Staged Adaptive Mutation Strategy Selection. -- Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization. -- Many-objective artificial bee colony algorithm based on dual indicators. -- Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoV. -- Application of machine learning in enterprise financial risk assessment: A study about China’s A-share listed manufacturing companies. -- A Decision Method Combining Multi granularity Rough Set and VIKOR Method. -- A method for identifying fraudulent behavior in electricity bill collection based on nearest neighbor metric matching. -- Fuzzy PID-Based Control Method for Thickness Uniformity in Blown Film. -- Many-objective Artificial Bee Colony Algorithm Based on Decision Variable Grouping. -- A NOVEL ELM OPTIMIZATION AND ITS APPLICATION IN IoT INTRUSION DETECTION. -- Optimization of Rural Integrated Energy System with Shared Energy Storage on Multiple-timescales. -- Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economic Emission Dispatch using the Salp Swarm Algorithm. -- Switched Data-Driven Model based Precise Forecasting of Photovoltaic Energy Generation. -- Carbon Emission Efficiency Analysis of Pearl River Delta Ports Based on the Super-SBM-GML Index Model. -- MWOA-SVM Based Algorithm in Tumor Cell Detection Research. -- Rapid Detection of Formaldehyde Emission from Wood-based Panels Based on the IPOA-XGBoost. -- Enhancing Rural Electrification: Delivering Affordable and Clean Electricity through Mobile Battery Solutions. -- A novel electricity measurement system based on electricity usage identification. -- Shared Task on NCAA 2024: Chinese Diabetes Question Classification. |
| Record Nr. | UNINA-9910983070203321 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Neural Computing for Advanced Applications : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part III / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He
| Neural Computing for Advanced Applications : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part III / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
LiXianxian
HaoTianyong MengWeizhi WuZhou HeQian |
| 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 |
9789819770076
9819770076 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications. -- A Similarity Index Time-effect Collaborative Filtering Algorithm Based on Attentional Double BP Network. -- ESert: An Enhanced Span-based Model for Measurable Quantitative Information Extraction from Medical Texts. -- Temporal Knowledge Graph Link Prediction using Synergized Large Language Models and Temporal Knowledge Graphs. -- A New Multi-Level Knowledge Retrieval Model for Task-Oriented Dialogue. -- FPLGen:A Personalized Dialogue System Based on Feature Prompt Learning. -- Ensemble learning with feature fusion for well-overflow detection. -- CE-DSLAM:A Dynamic SLAM Framework Based on Human Contact Experience for Escort Robots. -- EmoBART: A Multi-label Emotion Classification Method Based on Pre-Trained Label Sequence Generation Model. -- Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function. -- Psychological Consultation Dialogue Generation Based on Multi-label Classification Model and GPT. -- DRLN: Disentangled Representation Learning Network for Multimodal Sentiment Analysis. -- Trilinear Distillation Learning and Question Feature Capturing for Medical Visual Question Answering. -- Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition. -- Rehabilitation training program recommendation system based on ALBERT-LDA model. -- Named entity recognition of belt conveyor faults based on ALBERT-BiLSTM-SAM-CRF. -- Explicit Facial Attribute Disentanglement for Hierarchical Relationships Detection. -- Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security. -- A Federated Learning Method for Non-Intrusive Load Monitoring Based on Fed-Prox and Bi-GRU. -- An Interior Illuminance Prediction Model based on Differential Evolution-Gaussian Fitting. -- Mitigating Dimensional Collapse and Model Drift in Non-IID Data of Federated Learning. -- Wire Rope Damage Detection Method Based on Support Vector Machine Wavelet Kernel Function Algorithm. -- Ensemble Tidal Prediction Scheme by Combining Harmonic Analysis and Meteorological Predictive Module. -- Privacy Preserving Average Consensus via Integrable Function Based Masking. -- Fault diagnosis of photovoltaic modules based on feature extraction. -- A multi-scale feature adaptation ConvNeXt for cross-domain fault diagnosis. -- Transmission Line Equipment Defect Detection Based on Improved YOLO Network. -- A Road Defect Detection Algorithm based on Improved YOLOv8. -- Improved road defect detection model based on RT-DETR for UAV images. -- Blockchain-based Multi-target Distributed Passive Localization. -- Research on Monthly Precipitation Prediction in Guangxi Based on EVO-CNN-LSTM -Attention Model. -- Exploiting Fourier Transform for Multi-Scale Electric Load Forecasting. -- ASTGCN for Traffic Flow Prediction Based on Weather Influence. -- PF-BiCGAN: An Abnormal Values Replacement Approach for Port Electrical Load Forecasting. -- Short-term load forecasting of secondary CEEMDAN-SE-Transformer BiLSTM combined with error correction. |
| Record Nr. | UNINA-9910983043303321 |
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Zhang Haijun
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Computing for Advanced Applications : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part I / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He
| Neural Computing for Advanced Applications : 5th International Conference, NCAA 2024, Guilin, China, July 5–7, 2024, Proceedings, Part I / / edited by Haijun Zhang, Xianxian Li, Tianyong Hao, Weizhi Meng, Zhou Wu, Qian He |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (489 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
LiXianxian
HaoTianyong MengWeizhi WuZhou HeQian |
| 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 |
9789819770014
9819770017 |
| 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. -- WPG-CAM: A novel weighted feature fusion CAM method based on information entropy using pooling and Gaussian upsampling. -- Radical Basis Neural Network Based Anti-sway Control for 5-DOF Ship-mounted Crane. -- Online Car-hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning. -- Multi-objective optimization of antenna based on improved WOA-BP neural network. -- A multi-mechanism collaborative seagull optimization algorithm for optimizing BP neural network classification model. -- An Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers. -- Marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach. -- Skeleton-Based Point Cloud Sampling and its Facilitation to Classification. -- Multi-agent reinforcement learning for taxi-fleet cruising strategy in ride-hailing services. -- A new indoor occupancy detection model by integrating the efficient multi-scale attention mechanism into the EfficientDet model. -- A Novel Automatic Generation Method for Neural Network by Using Iterative Function System. -- A Predictive Maintenance Platform for a Conveyor Motor Sensor System Using Recurrent Neural Networks. -- A deep learning-based method facilitates scRNA-seq cell type identification. -- Adaptive Hierarchical Clustering based Student Group Exercise Recommendation via Multi-Objective Evolutionary Method. -- Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model for Wind Power Generation. -- Efficient Path Planning for Large-Scale Vehicular Networks via Multi-Agent Mean Field Reinforcement Learning. -- A fast and accurate reconstruction method for boiler temperature field based on inverse distance weight and long short-term memory. -- RoBERTa-WWM-CBA:A Mental Disease Identification Model Based on RoBERTa-WWM and Hybrid Neural Networks. -- Computer vision, and their engineering applications. -- A 3D Pose Estimation Method based on Deep Learning for Markerless Fish. -- Safety Helmet-wearing Detection Method Fusing Pose Estimation. -- Clothes Image Retrieval via Learnable FashionCLIP. -- Mannequin2Real+: A Two-Stage Framework for Generating Photorealistic Model Images from Mannequins with Specified Identities for Clothing Display. -- A MSARM-based EIT Image Reconstruction Method. -- A Survey on Deep Learning-Based Medical Image Registration. -- Design and Development of Wearable Knee Rehabilitation System based on Motor Imagery Brain Computer Interface. -- SHGNN: Substructure-Aware and High Expressive Graph Neural Networks for Graph Classification. -- Sensor Embedding and Variant Transformer Graph Networks for Multi-Source Data Anomaly Detection. -- A Method for Sleep Staging Using Single-Channel EEG Signals Based on Horizontal Visibility Graph and Graph Isomorphism Network. -- GT-ACGAN : Graph Topology-based Auxiliary Classifier GAN for graph long-tailed classification. -- SNN-CPG Hierarchical Control Enhanced Motion Performance of Robotic Fish Based on STDP. -- Pedestrian Fall Detection Algorithm Based on Improved YOLOv7. -- A Study on Image Reconstruction Based on Decoding fMRI Through Extracting Image Depth Features. |
| Record Nr. | UNINA-9910983373303321 |
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Zhang Haijun
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Neural Computing for Advanced Applications : 6th International Conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, Proceedings, Part II
| Neural Computing for Advanced Applications : 6th International Conference, NCAA 2025, Hong Kong, China, July 4-6, 2025, Proceedings, Part II |
| Autore | Zhang Haijun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (697 pages) |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9537-39-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911040914503321 |
|
Zhang Haijun
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||
| Singapore : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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