Description

Book Synopsis

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

Advanced Intelligent Computing Technology and Applications

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    A Paperback by De-Shuang Huang

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      View other formats and editions of Advanced Intelligent Computing Technology and Applications by De-Shuang Huang

      Publisher: Springer
      Publication Date: 19/08/2025
      ISBN13: 9789819500086, 978-9819500086
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

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

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