{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819500161","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e._Image Processing.\u003c\/strong\u003e\u003cbr\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eIllumination-Guided Enhancement of Underexposed Fundus Images with Retinal Structural Modeling.\u003cbr\u003e._DANet: Dual-stream Adaptive Interaction and Attention Fusion Network for High-Resolution Remote Sensing Cropland Change Detection.\u003cbr\u003e._MLMamba: An Infrared and Visible Image Fusion Model Based on a Multi-Branch Mamba Enhanced with an Attention Mechanism.\u003cbr\u003e._DualAttnADCNet: Explainable Skin Lesion Classification via Dual Attention and Dense Classifier.\u003cbr\u003e._A New Target Detection Model in Complex Environments Based on Unmanned Aerial Vehicle Images.\u003cbr\u003e._A Selective Fusion UNet for Coronary Artery Segmentation.\u003cbr\u003e._Unpaired Artistic Portrait Drawing Generation with Asymmetric Network \u003cem style=\"mso-bidi-font-style: normal;\"\u003eDi.\u003cbr\u003e._MEN-AD: Multimodal Zero-Shot Detection of Mucus Anomalies in Endoscopy.\u003cbr\u003e\u003cstrong\u003e._\u003c\/strong\u003e\u003c\/em\u003e\u003c\/span\u003e\u003cstrong\u003eKnowledge Discovery and Data Mining.\u003c\/strong\u003e\u003cbr\u003e\u003cspan style=\"mso-spacerun: yes;\"\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eSemantic-Knowledge Infused Rule Representation Learning for Enhanced Customs Risk Rule Generation.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eDeep Knowledge Tracing Model Integrating Learning Consistency and Difficulty.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eTDSR: Temporal Dynamics Enhanced Semantic Recommendation via\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eCross-Domain Interactive Learning.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eKnowledge Enhanced Global Graph Contrastive Denoising for Recommendation.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eMulti-scale Fusion Recurrent Attention Framework for Time Series Forecasting.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eDenoising Multimodal Recommendation with Two-Stage Multi-View Contrastive Fusion.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eMFFKT: A Deep Knowledge Tracing Model by Fusing Multiple Learning Factors.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eEnhancing Programming Knowledge Tracing with GPT Embedding and Temporal Convolutional Network.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eVE-ResBiLSTM: A Deep Spatiotemporal Model for Field-Road\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eClassification with DBSCAN-Based Data Augmentation.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eReal-Time In-Class Data Mining of Moodle Click Logs for Learning Pattern Classification and Outlier Detection.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eTermRAG: Data Resource Summarization Via Term Retrieval Augmented Generation.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eAIDataSet: Knowledge Graph Construction for AI Applications.\u003cbr\u003e\u003c\/span\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eAFRNS: Adaptive Feature Refinement and Noise Suppression for Click-Through Rate Prediction.\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"mso-spacerun: yes;\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003e._DisCoref: A Coreference Resolution Approach Based on Distence Feature for Document.\u003cbr\u003e._MultiE: A Fusion of Dual-path Encoding and Multi-dimensional Adaptive Convolution for Knowledge Graph Embedding.\u003cbr\u003e._Knowledge Tracking via Latent Relationship Mining and Global-Local Information Fusion.\u003cbr\u003e._LE-MSF: A Chinese Medical Named Entity Recognition Method Based on Lexicon Enhancement and Multi-semantic Fusion.\u003cbr\u003e._An Adaptive Masked Graph Neural Network for Graph-Based Fraud Detection.\u003cbr\u003e._Leveraging Contrastive Learning to Bridge Semantic Gaps in Multimodal Recommendation.\u003cbr\u003e._BOPRO: Towards new style Bayesian Optimization with Large Language Models.\u003cbr\u003e._GAP: Adaptive DFS Branch-Level Parallel Subgraph Matching.\u003cbr\u003e._GT-DIM: Global-Temporal Dynamic Interest Modeling for Sequential Recommendation.\u003cbr\u003e._EMK-GC: An Efficient Graph Classification Solution.\u003cbr\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 109%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003e._Enhanced Temporal Knowledge Graph Forecasting with Historical and Non-\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eHistorical Contrastive Learning.\u003cbr\u003e._TSPN-KG: A Two-Stage Prototypical Network for Few-Shot Knowledge Graph Entity Extraction.\u003cbr\u003e._Technology Opportunity Discovery with Multi-Technology Convergence Based on Knowledge-Guided Graph Representation Learning.\u003cbr\u003e._XAI-Driven Academic Competence Assessment in Higher Education: A Machine Learning Framework with Dual-Explainer.\u003cbr\u003e._Analogical Reasoning Enhanced Knowledge Graph Completion.\u003cbr\u003e._MaTrRec: A Mamba-Transformer Framework for Robust Sequential Recommendation.\u003cbr\u003e._PipeUKAN: Enhanced U-KAN with Edge Attention for Sewer Pipe Defect Segmentation.\u003cbr\u003e._Robust Graph Neural Networks Against Edge Noise under Incomplete Structure Situation.\u003cbr\u003e._Mobility-aware Edge Service Scheduling with Request Heterogeneity and Server Load Balancing.\u003cbr\u003e\u003cstrong\u003e._\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong\u003eSupervised Learning.\u003c\/strong\u003e\u003cbr\u003e._\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; color: black; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eFECG-KD: Fisher Enhanced and Clustering Guided Knowledge Distillation for Low-bit Post-training Quantization.\u003cbr\u003e._ILSPP: A Multi-Layer Security Level Phishing URL Detection Model.\u003cbr\u003e._Predicting Emotions in Conversational Speech Synthesis Using Fine-Grained Historical Context.\u003cbr\u003e._Code Clone-based Defect Prediction for Autonomous Driving Software.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212848292183,"sku":"9789819500161","price":75.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advanced-intelligent-computing-technology-and-applications-9789819500161","provider":"Book Curl","version":"1.0","type":"link"}