06667nam 22007815 450 991098304330332120250626164707.09789819770076981977007610.1007/978-981-97-7007-6(MiAaPQ)EBC31684348(Au-PeEL)EBL31684348(CKB)36165662400041(OCoLC)1457641369(DE-He213)978-981-97-7007-6(EXLCZ)993616566240004120240922d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNeural 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 He1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (502 pages)Communications in Computer and Information Science,1865-0937 ;21839789819770069 9819770068 -- 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.This book constitutes the refereed proceedings of the 5th International Conference on Neural Computing for Advanced Applications, NCAA 2024, held in Guilin, China, during July 5–7, 2024. The 89 revised full papers presented in these proceedings were carefully reviewed and selected from 227 submissions. The papers are organized in the following topical sections: Part I: Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications; Computer vision, and their engineering applications. Part II: Computational intelligence, nature-inspired optimizers, their engineering applications, and benchmarks. Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications; Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security.Communications in Computer and Information Science,1865-0937 ;2183Artificial intelligenceComputer engineeringComputer networksComputersComputer visionComputer scienceMathematicsArtificial IntelligenceComputer Engineering and NetworksComputing MilieuxComputer VisionMathematics of ComputingArtificial intelligence.Computer engineering.Computer networks.Computers.Computer vision.Computer scienceMathematics.Artificial Intelligence.Computer Engineering and Networks.Computing Milieux.Computer Vision.Mathematics of Computing.006.3Zhang Haijun1059050Li Xianxian1784818Hao Tianyong1338145Meng Weizhi1067369Wu Zhou1423693He Qian1784819MiAaPQMiAaPQMiAaPQBOOK9910983043303321Neural Computing for Advanced Applications4316362UNINA