{"product_id":"neural-information-processing-9789819665846","title":"Neural Information Processing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cspan lang=\"X-NONE\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: X-NONE; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eMultimodal 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.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212883910999,"sku":"9789819665846","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/neural-information-processing-9789819665846","provider":"Book Curl","version":"1.0","type":"link"}