{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819500086","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Neural Networks.\u003cbr\u003e\u003c\/strong\u003e.- Event Data Classification using TPE-based Deep Spiking Neural Networks.\u003cbr\u003e.- TIINet: A Three-Stage Interactive Integration Network for RGB-D Salient  Object Detection.\u003cbr\u003e.- Dynamic Semantic Graph Learning with Progressive Alignment for Image-Text Matching.\u003cbr\u003e.- MGTDGraph: Multi-granularity Graph Attention Networks for Multivariate  Long-term Time Series Forecasting.\u003cbr\u003e.- Topology-Aware Discriminative Graph Convolutional Network for  Skeleton-Based Action Recognition.\u003cbr\u003e.- Online Delay Learning Algorithm for Feedforward Spiking Neural Networks  Based on Spike Train Kernels.\u003cbr\u003e.- Energy-Constrained UAV Network Topology Recovery Based on Graph  Convolutional Networks.\u003cbr\u003e.- UBDet: An Unsupervised Breast Tumor Detection Framework with  Boundary-Aware Enhancement.\u003cbr\u003e.- Bidirectional Interactive Prompt Fusion and Noise Filtering for Multimodal  Aspect-Based Sentiment Analysis.\u003cbr\u003e.- AMTerrain: Research on Arbitrary-Modal Terrain Segmentation Based on  Text Guidance.\u003cbr\u003e.- Correlation Adaptive Dynamic Graph Convolutional Networks for Traffic  Flow Prediction.\u003cbr\u003e.- EMDC-YOLO: A Residual Multi-Scale Attention and Cross-Scale Fusion based Method for Pedestrian Detection in Crowded Scenes.\u003cbr\u003e.- A Novel Lightweight YOLO Method for Satellite Remote Sensing via  Matrix Decomposition.\u003cbr\u003e.- TSMDM-Net: A Speech Emotion Recognition Model Based on Multi-Scale  Time Series Dynamic Modeling.\u003cbr\u003e.- Research on Contrastive Learning-Based Knowledge Distillation for Deep  Graph Neural Networks.\u003cbr\u003e.- Two-view Fusion Graph Neural Networks for Graph Classification.\u003cbr\u003e.- MambaForDIF: Distance-Importance Features and Long-Range  Dependencies for Enhancing Aspect-Based Sentiment Analysis.\u003cbr\u003e.- FedCWE: Federated Cluster-based Weight Sampling and Ensemble Learning  for Non-IID Data.\u003cbr\u003e.- ORE: an Offline Redundancy Elimination System for GNN Acceleration.\u003cbr\u003e.- Time Efficiency: Legendre Polynomials in Kolmogorov-Arnold Network.\u003cbr\u003e.- SCAUnet: Symmetric Cross-Attention U-net model for Semantic  Segementation.\u003cbr\u003e.- Self-Attention Multiscale Mixed Propagation Network Based on Contrastive  Augmentation.\u003cbr\u003e.- Sentiment Perception from Tokens: A Multitask Learning Framework with  Entropy-Driven Fusion.\u003cbr\u003e.- GCLCP: Graph Contrastive Learning with Convolutional Perturbation for  Recommendation.\u003cbr\u003e.- Agro-LLaVA-Next: A Large Multimodal Model for Plant Diseases  Recognization.\u003cbr\u003e.- LTL-GCL:A more efficient layer-to-layer graph contrastive learning method  for recommender system.\u003cbr\u003e.- IMVGCN : Interactive Multi-view Learning Graph Convolutional Networks for Traffic Flow Forecasting.\u003cbr\u003e.- An Inverse Cavity Scattering Inversion Method Based On Adaptive Neural Fuzzy Inference System.\u003cbr\u003e.- Entity Backdoor Attacks Against Fine-Tuned Models.\u003cbr\u003e.- Knowledge Graph Denoising with Dual Contrast for Recommendation.\u003cbr\u003e.- DDformer: Deepfake Detection with Multimodal Fusion Transformer.\u003cbr\u003e.- Improved Transfer Learning based on Increased Model Capacity and Weight Re-initialization for ResNet.\u003cbr\u003e.- BEVboost: Research on 3D Object Detection Method for Roadside Based on  Multi-Feature Fusion.\u003cbr\u003e.- ARG-Net:Gaze Estimation Based on Adversarial Learning and Learnable  Networks.\u003cbr\u003e.- GNN Advanced Heuristics Algorithm for Solving Multi-Depot Vehicle  Problem.\u003cbr\u003e.- MSDBNet: A Multi-Scale and Dual-Branch Network for Cross-Domain  Person Re-identification.\u003cbr\u003e.- Global and Local Feature Enhancement for Short Video Fake News  Detection.\u003cbr\u003e.- SpikingRM: Efficient Scheduling Algorithm Based on Spiking Neural  Network and Deep Reinforcement Learning.\u003cbr\u003e.- Infrared Multi-Scale Target Detection Based on Improved YOLOv11 and Spatiotemporal Features.\u003cbr\u003e.- Hierarchical Attention-Driven Dynamic Graph Neural Networks for  Accurate Supply Chain Demand Forecasting.\u003cbr\u003e.- DHCBR: Evaluating the Influence of Supply Chain Complex Network  Nodes Based on ResNet.\u003cbr\u003e.- An Efficient DNN Training Method with Progressive Pruning.\u003cbr\u003e.- TPKD: Teacher-Pruned Knowledge Distillation for Point Cloud-Based 3D  Object Detection.\u003cbr\u003e.- Network Protocol Security Evaluation via LLM-enhanced Fuzzing in  Extended ProFuzzBench.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default 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