Placeholder text

Advanced Intelligent Computing Technology and Applications

Advanced Intelligent Computing Technology and Applications

0 - Default Title
Description
.- 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 Netwo
Product details
Binding:
Paperback
Number of Pages:
560
Release Date:
2025-07-25
Publication Date:
2025-07-25
Publisher:
Springer
Languages:
Original: English
ISBN10:
9819500087
ISBN13:
9789819500086
GPSR Manufacturer Reference:
Weight:
838 g
Height:
155 cm
Width:
235 cm
Thickness:
30 cm
Currently sold out