{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819500000","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e._Advancements in Multimodal Intelligent Computing.\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;\"\u003eFlexTransformer: Flexibly Allocating Transformer Modules for Efficient Video Captioning.\u003cbr\u003e._A Novel Robotic System for Apple Automatic Harvesting and Grading.\u003cbr\u003e._A review of the identification methods of digital twin coal rock driven by multimodal model.\u003cbr\u003e._Entity Attribute Correspondence Learning for Text-based Person Search.\u003cbr\u003e._SAMBA-Net: Enhancing Sarcomere Organization Evaluation with AI-Powered Multi-Modal Learning.\u003cbr\u003e._FART-Attack: A Feature-level Active Region Targeting Framework for Transferable Black-box Adversarial Attacks on 3D Point Clouds.\u003cbr\u003e._NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training.\u003cbr\u003e\u003cstrong\u003e._\u003c\/strong\u003e\u003c\/span\u003e\u003cstrong\u003eMachine 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;\"\u003eLie Group-based Multimodal Dynamic Attention for Chest X-ray Diagnosis.\u003cbr\u003e._Individual Causal Effect Estimation Based On Data Balancing And Feature extraction.\u003cbr\u003e._AgentTester: An LLM-Based Tool for Unit Test Generation with Automatically Generated Prompts.\u003cbr\u003e._Block Cipher Algorithm Identification Scheme Based on Fast Fourier Transform.\u003cbr\u003e._ESA: Annotation-Efficient Active Learning for Semantic Segmentation.\u003cbr\u003e._Tea Pest and Disease Detection in Complex Backgrounds Using YOLOv11.\u003cbr\u003e._Intelligent Detection of Goose Egg Hatchability via Deformable Convolution and Multi-Scale Feature Fusion.\u003cbr\u003e._\u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 110%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eCross-modal Entity Alignment Method Based on Contrastive Learning of \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;\"\u003eText and Images.\u003cbr\u003e._Long-term ozone forecasting using the Informer model with site aggregation and transfer learning.\u003cbr\u003e._Retrieval of Vegetation Canopy Biophysical and Biochemical Parameters Based on Multi-output Gaussian Processes.\u003cbr\u003e._Lightweight Federated POI Recommendation Framework Based on Hamming Clustering.\u003cbr\u003e._EEG Emotion Recognition Based on Multidimensional Feature Collaborative Extraction.\u003cbr\u003e._MBHNet:Efficient Multi-Branch Inference for Mobile Heterogeneous System.\u003cbr\u003e._Deep Learning Based Design and Optimization of Shell-and-Tube Heat Exchangers.\u003cbr\u003e._Towards Fast Event-based Recognition with Adaptive Slicing.\u003cbr\u003e._I2CLD: Image-to-Image-enhanced Contrastive Learning Distillation for Cross- and Intra-modal Retrieval.\u003cbr\u003e._A Semantic Similarity based Distribution Calibration Approach for Few-Shot Image Classification.\u003cbr\u003e._When the U.S. Capital Becomes Tokyo: The Boundary of Knowledge Editing.\u003cbr\u003e._MEL-Net: Accelerating Action Recognition with Motion-Enhanced Lightweight Network.\u003cbr\u003e._Adversarial Purification Using Super-Resolution and Prompt Engineering.\u003cbr\u003e._Hierarchical Semantic-Guided Attention with Prompt-Augmented Vision Prototypes for 3D Point Cloud few-shot learning.\u003cbr\u003e._FedBE: Federated Learning for Heterogeneous and Data Scarcity.\u003cbr\u003e._HambaGCL: Mamba-Based Multi-Hop Graph Sequencing for Contrastive Learning.\u003cbr\u003e._DRL-Based Asynchronous Federated Learning for Cooperative Caching in IoV.\u003cbr\u003e._Time-Frequency Adaptive Fusion for Sequential Recommendation.\u003cbr\u003e._FedGF: Layer-wise Federated Learning with Group Fairness Guarantees.\u003cbr\u003e._HALOES: Instruction Flow Analysis Method via Graph Bayes Learning for \u003cspan style=\"font-size: 11.0pt; mso-bidi-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;\"\u003eAccelerating Chip Test Coverage.\u003cbr\u003e\u003c\/span\u003e._Weakly Supervised Video Anomaly Detection with Lightweight Knowledge Token Fusion and Memory Optimization Strategy.\u003cbr\u003e._\u003cspan style=\"font-size: 11.0pt; mso-bidi-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;\"\u003eA Dynamic Multi-Proxy Based Deep Metric Learning Method.\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;\"\u003eAutoReqGen: A Pipeline Approach for Automated Requirements Generation from Source Code.\u003cbr\u003e._Expert Knowledge-Guided Deep Reinforcement Learning for Jiu Chess: A Hybrid Intelligence Approach.\u003cbr\u003e\u003cstrong\u003e._\u003c\/strong\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cstrong\u003eNatural Language Processing and Computational Linguistics.\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;\"\u003eIntelligent Speech Analysis and Safety Hazard Classification for Coal Mine Dispatch Telephones Based on Deep Learning.\u003cbr\u003e._Automatic Lesson Plan Generation based on a Large Language Model.\u003cbr\u003e._In-Context Learning vs Instruction Tuning: A Systematic Comparison of Few-Shot Adaptation Strategies for Large Language Models.\u003cbr\u003e._Two-Stage Semantic Enhancement for Open Information Extraction.\u003cbr\u003e._Iterative Context Prototype Learning with Graph Dependency for Few-Shot Emotion Recognition in Conversations.\u003cbr\u003e._Research on Normative Chalkboard Writing Question Answering Based on Large Language Models. \u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212848226647,"sku":"9789819500000","price":75.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advanced-intelligent-computing-technology-and-applications-9789819500000","provider":"Book Curl","version":"1.0","type":"link"}