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Multimodal Emotion Recognition by Fusing Video Semantics in Video Learning Scenarios.- STGCN-DHD: Spatio-Temporal Graph Convolutional Network for EEG-Based Driving Hazard Detection.- Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis.- Granular-ball Representation Learning for Deep CNN on Learning with Label Noise.- Computational Intelligence for Optimizing UAV Positioning and Task Scheduling in UAV-assisted MEC Systems.- Feed-Forward Optimization With Delayed Feedback for Neural Network Training.- Fusion of Multi-level Information: Solve Large-scale Traveling Salesman Problem with an Effcient Framework.- A Novel Elitism-Based Genetic Algorithm with Gradient-based Local Search for Seeking Local Nash Equilibrium in Non-Cooperative Game.- Massive Multi-Agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning.- Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning.- Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster.- Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent.- Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory.- GATE: Guided Contrastive State Space for Multi-Agent Reinforcement Learning.- A Leaky Wang kWTA.- Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM.- Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.- Critical roles of Contours in Intermediate-Level Neural Representation: Comparative study between Primate V4 and DCNN.- Generalized knowledge-enhanced framework for biomedical entity and relation extraction.- CPG: Channel Pruning with DFS Guided Grouping for Effcient Medical Image Segmentation.- Attention based multi-scale feature conservation network for medical image segmentation.- DSNet: A Decoupled Siamese Network for ECG Classification.- A Lightweight Multi-Scale Effcient Model for Breast Cancer Detection and Classification in Mammograms.- HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affnity Prediction.- Graph-Augmented Sparse Attention for Medical Image Segmentation.- Active Learning by Feature Perturbation for Medical Image Classification.- A Multi-Encoder Pyramid U-Net for Multimodal Brain Tumor Segmentation.- MambaFuse: Fusing Multi-Scale Mamba and CNN Features for Seizure Prediction.- An Encoder-Decoder Based Approach for ECG Delineation.

Neural Information Processing

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    A Paperback by Mufti Mahmud

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      View other formats and editions of Neural Information Processing by Mufti Mahmud

      Publisher: Springer
      Publication Date: 19/07/2025
      ISBN13: 9789819665846, 978-9819665846
      ISBN10:
      Also in:
      Pattern recognition

      Description

      Book Synopsis

      Multimodal Emotion Recognition by Fusing Video Semantics in Video Learning Scenarios.- STGCN-DHD: Spatio-Temporal Graph Convolutional Network for EEG-Based Driving Hazard Detection.- Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysis.- Granular-ball Representation Learning for Deep CNN on Learning with Label Noise.- Computational Intelligence for Optimizing UAV Positioning and Task Scheduling in UAV-assisted MEC Systems.- Feed-Forward Optimization With Delayed Feedback for Neural Network Training.- Fusion of Multi-level Information: Solve Large-scale Traveling Salesman Problem with an Effcient Framework.- A Novel Elitism-Based Genetic Algorithm with Gradient-based Local Search for Seeking Local Nash Equilibrium in Non-Cooperative Game.- Massive Multi-Agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning.- Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning.- Mixed Time-State Dependent Distributed Event-Triggered Consensus Protocol of a DC Microgrids Cluster.- Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent.- Data Augmentation for Continual RL via Adversarial Gradient Episodic Memory.- GATE: Guided Contrastive State Space for Multi-Agent Reinforcement Learning.- A Leaky Wang kWTA.- Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM.- Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.- Critical roles of Contours in Intermediate-Level Neural Representation: Comparative study between Primate V4 and DCNN.- Generalized knowledge-enhanced framework for biomedical entity and relation extraction.- CPG: Channel Pruning with DFS Guided Grouping for Effcient Medical Image Segmentation.- Attention based multi-scale feature conservation network for medical image segmentation.- DSNet: A Decoupled Siamese Network for ECG Classification.- A Lightweight Multi-Scale Effcient Model for Breast Cancer Detection and Classification in Mammograms.- HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affnity Prediction.- Graph-Augmented Sparse Attention for Medical Image Segmentation.- Active Learning by Feature Perturbation for Medical Image Classification.- A Multi-Encoder Pyramid U-Net for Multimodal Brain Tumor Segmentation.- MambaFuse: Fusing Multi-Scale Mamba and CNN Features for Seizure Prediction.- An Encoder-Decoder Based Approach for ECG Delineation.

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