Description

Book Synopsis

.- Neural Networks.
.- EMAFN: Enhanced Multimodal Alignment and Fusion for visual question answering Networks.
.- PHierT: a Privacy-Preserving Hierarchical Transformer Model for ICS Network Traffic Classification.
.- IDRS: An Input-Dependent Randomized Smoothing Method Certifying the Robustness of Temporal Link Prediction Models.
.- MICTE: Mutual information and cross-modal text enhancement for multimodal sentiment analysis.
.- Online Delay Learning Algorithm for Recurrent Spiking Neural Networks with Multiple Synaptic Connections.
.- Enhancing Semantic-Guided Self-Supervised Monocular Depth Estimation by Exploring Task-Related Representations.
.- Neural Networks Remember More: The Power of Parameter Isolation and Combination.
.- STLANet: A Spatio-Temporal Linear Attention Network for Multivariate Time Series Classification.
.- Adaptive Dynamic Inference Framework Using Multi-Route Neural Networks under Constraints.
.- AutoDesign-Net: Genetic Algorithm-Driven Neural Architecture and Feature Selection for Adaptive Time Series Modeling.
.- SCN-YOLOv8: A Paradigm for Urban Road Garbage Detection Algorithm Based on YOLOv8.
.- U-GANs: Pyramidal Convolutional Attention Fusion Network for Pneumonia Infection Segmentation with Semi-Supervised Learning.
.- Multi Hierarchical Time Structures Aware Passenger Preference Evolution for Personalized Flight Recommendation.
.- Density Constraint Based Neural Fluid.
.- Joint Training of Singular Value Decomposition and Variational Graph Autoencoders for Link Prediction.
.- CTMASleep: A Multi-Task Learning Framework for Single-Channel Sleep Staging.
.- Enhancing Effective Channels of Data for Multivariate Time Series Classification.
.- GA-fPINN: Global-Adaptive Physics-Informed Neural Networks for Predicting the Nonlinear Dynamics of Temporal Fractional Order Differential Equations.
.- Reformulating Distributed Hybrid Flow Shop Scheduling under Degradation Effect Using Deep Reinforcement Learning and Spliced Heterogeneous Graph Attention Networks.
.- Spectral Bounds and Quantum State Reconstruction in Multi-Dimensional Discrete-Time Quantum Walks.
.- BlastocystMask: An Instance Segmentation of Internal Structure in Human Blastocyst Images.
.- Delay Learning Algorithm in Spiking Neural Networks for Network Intrusion Detection.
.- Using An Improved Lightweight YOLOv11 Model for Fuzzy Image Object Detection.
.- A Diffusion-Based Neuron Coverage Feedback Fuzz Testing Method.
.- Enhancing Fast Adversarial Training via Adaptive Self-Knowledge Dynamic Guidance.
.- Frequency Perturbation and Spatial Attention Modulation for Privacy Preserving Action Recognition.
.- Lightweight Neural Networks for Expiration Date Accessibility.
.- YOLO-LFS: A Lightweight Method for Pomegranate Growth State Detection.
.- Partitioned Memory-Based Method for Long-Tail Document-Level Relation Extraction.
.- USEE-YOLO:An Improved Underwater Small Object Detection Algorithm With Edge Enhancement.
.- A Lightweight Multi-View Stereo Method for 3D Reconstruction using Wavelet Transform and Depthwise Separable Convolution.
.- FairGEO: Lightweight Bias Mitigation in Pruned CNNs via Length and Angle Alignment from Geometric Perspectives.
.- Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation.
.- KFC: A Kalman Filtering Correction Method for Diffusion Model Acceleration.
.- A Dual-Stream Network Architecture Based on GNN and CNN for Intrusion Detection.
.- Generalization-Driven Anomaly Detection: A Two-Stage Framework with Encoder Freezing and Hybrid Learning.
.- GAT-Trans: Graph Attention Networks for Analog Hardware Trojan Detection at Transistor Level.
.- Clickbait Detection via Large Language Models.
.- Stratospheric Wind Field Simulation Using Physics-Constrained Latent Diffusion Model.
.- LLMonCAR: A Benchmark for Exploring Large Language Models on Cryptographic Algorithm Recognition.
.- Enhancing Subject-Oriented Video Captioning with Predicate-Guided Action Modeling.
.- Weaken Non-Primary Information to Enhance Single Face Image Super Resolution.
.- Research on abnormal electricity usage detection based on Time GAN-CNN Transformer-Bi LSTM.

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: 03/10/2025
      ISBN13: 9789819699100, 978-9819699100
      ISBN10:

      Description

      Book Synopsis

      .- Neural Networks.
      .- EMAFN: Enhanced Multimodal Alignment and Fusion for visual question answering Networks.
      .- PHierT: a Privacy-Preserving Hierarchical Transformer Model for ICS Network Traffic Classification.
      .- IDRS: An Input-Dependent Randomized Smoothing Method Certifying the Robustness of Temporal Link Prediction Models.
      .- MICTE: Mutual information and cross-modal text enhancement for multimodal sentiment analysis.
      .- Online Delay Learning Algorithm for Recurrent Spiking Neural Networks with Multiple Synaptic Connections.
      .- Enhancing Semantic-Guided Self-Supervised Monocular Depth Estimation by Exploring Task-Related Representations.
      .- Neural Networks Remember More: The Power of Parameter Isolation and Combination.
      .- STLANet: A Spatio-Temporal Linear Attention Network for Multivariate Time Series Classification.
      .- Adaptive Dynamic Inference Framework Using Multi-Route Neural Networks under Constraints.
      .- AutoDesign-Net: Genetic Algorithm-Driven Neural Architecture and Feature Selection for Adaptive Time Series Modeling.
      .- SCN-YOLOv8: A Paradigm for Urban Road Garbage Detection Algorithm Based on YOLOv8.
      .- U-GANs: Pyramidal Convolutional Attention Fusion Network for Pneumonia Infection Segmentation with Semi-Supervised Learning.
      .- Multi Hierarchical Time Structures Aware Passenger Preference Evolution for Personalized Flight Recommendation.
      .- Density Constraint Based Neural Fluid.
      .- Joint Training of Singular Value Decomposition and Variational Graph Autoencoders for Link Prediction.
      .- CTMASleep: A Multi-Task Learning Framework for Single-Channel Sleep Staging.
      .- Enhancing Effective Channels of Data for Multivariate Time Series Classification.
      .- GA-fPINN: Global-Adaptive Physics-Informed Neural Networks for Predicting the Nonlinear Dynamics of Temporal Fractional Order Differential Equations.
      .- Reformulating Distributed Hybrid Flow Shop Scheduling under Degradation Effect Using Deep Reinforcement Learning and Spliced Heterogeneous Graph Attention Networks.
      .- Spectral Bounds and Quantum State Reconstruction in Multi-Dimensional Discrete-Time Quantum Walks.
      .- BlastocystMask: An Instance Segmentation of Internal Structure in Human Blastocyst Images.
      .- Delay Learning Algorithm in Spiking Neural Networks for Network Intrusion Detection.
      .- Using An Improved Lightweight YOLOv11 Model for Fuzzy Image Object Detection.
      .- A Diffusion-Based Neuron Coverage Feedback Fuzz Testing Method.
      .- Enhancing Fast Adversarial Training via Adaptive Self-Knowledge Dynamic Guidance.
      .- Frequency Perturbation and Spatial Attention Modulation for Privacy Preserving Action Recognition.
      .- Lightweight Neural Networks for Expiration Date Accessibility.
      .- YOLO-LFS: A Lightweight Method for Pomegranate Growth State Detection.
      .- Partitioned Memory-Based Method for Long-Tail Document-Level Relation Extraction.
      .- USEE-YOLO:An Improved Underwater Small Object Detection Algorithm With Edge Enhancement.
      .- A Lightweight Multi-View Stereo Method for 3D Reconstruction using Wavelet Transform and Depthwise Separable Convolution.
      .- FairGEO: Lightweight Bias Mitigation in Pruned CNNs via Length and Angle Alignment from Geometric Perspectives.
      .- Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation.
      .- KFC: A Kalman Filtering Correction Method for Diffusion Model Acceleration.
      .- A Dual-Stream Network Architecture Based on GNN and CNN for Intrusion Detection.
      .- Generalization-Driven Anomaly Detection: A Two-Stage Framework with Encoder Freezing and Hybrid Learning.
      .- GAT-Trans: Graph Attention Networks for Analog Hardware Trojan Detection at Transistor Level.
      .- Clickbait Detection via Large Language Models.
      .- Stratospheric Wind Field Simulation Using Physics-Constrained Latent Diffusion Model.
      .- LLMonCAR: A Benchmark for Exploring Large Language Models on Cryptographic Algorithm Recognition.
      .- Enhancing Subject-Oriented Video Captioning with Predicate-Guided Action Modeling.
      .- Weaken Non-Primary Information to Enhance Single Face Image Super Resolution.
      .- Research on abnormal electricity usage detection based on Time GAN-CNN Transformer-Bi LSTM.

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