{"product_id":"9783032166319","title":"Distributed Computing and Intelligent Technology : 22nd International Conference, ICDCIT 2026, Bhubaneswar, India, January 16-19, 2026, Proceedings (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis book constitutes the refereed proceedings of the 22nd International Conference on Distributed Computing and Intelligent Technology, ICDCIT 2026, held in Bhubaneswar, India during January 16 19, 2026.\u003c\/p\u003e\u003cp\u003eThe 34 full papers included in this volume were carefully reviewed and selected from 143 submissions. They are organized into the following topical sections: Dynamic and Temporal Graph Algorithms; Algorithms with Agents and Robots; Cloud based Systems and Algorithms; Formalisms and Fault-Tolerance; Computer Vision; NLP and LLMs; AI for Security; Artificial Intelligence; AI for Medical Diagnostics; AI for Health and Bioinformatics; and AI for Physics.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Dynamic and Temporal Graph Algorithms.\u003c\/strong\u003e\n.- When Agents are Powerful: Black Hole Search in Time-Varying Graphs.\n.- On Fixed-Parameter Tractability of Weighted 0-1 Timed Matching Problem on Temporal Graphs.\n\u003cstrong\u003e.- Algorithms with Agents and Robots. \u003c\/strong\u003e\n.- Improved Linear-Time Construction of Minimal Dominating Set via Mobile Agents.\n.- Collaborative Dispersion of Silent Robots with Different Wake-Up Time.\n.- Separation of Unconscious Robots with Obstructed Visibility.\n\u003cstrong\u003e.- Cloud based Systems and Algorithms.\u003c\/strong\u003e\n.- VMigrate+: A Lattice-Theoretic and Cost-Aware Framework for SLA-Compliant VM Migration in Dynamic Cloud Infrastructures.\n.- Efficient Data Sharing Based on IBE to ABE Conversion for Cloud-Assisted Environments.\n.- MobiTest: A testbed for harnessing the computing power of discarded smartphones.\n\u003cstrong\u003e.- Formalisms and Fault-Tolerance.\u003c\/strong\u003e\n.- Integral implementation of Higher-order Algebraic Petri Nets in Maude.\n.- Reconfigurable mutli-formalism models for performance analysis of distributed systems.\n.- Fault-Tolerant Decentralized Distributed Asynchronous Federated Learning with Adaptive Termination Detection.\n\u003cstrong\u003e.- Computer Vision.\u003c\/strong\u003e\n.- Improved Single-Stage Facial Landmarks for Real-Time Driver Drowsiness Detection.\n.- Restoring Motion: A Video Inpainting Method for Moving Instances.\n.- UKANETR: A Kansformer-based Interpretable UNET for Brain Tumor Segmentation.\n.- Axial-UNet: A Neural Weather Model for Precipitation Nowcasting.\n\u003cstrong\u003e.- NLP and LLMs.\u003c\/strong\u003e\n.- KUI-2SR: A Unified Speech and Speaker recognizer for KUI Language.\n.- Revise to Precise: Self-Assessing Chain-of-Draft for Robust Decision-Making in LLMs.\n.- A Novel Explainable Multimodal Edge Framework for Stress Detection.\n\u003cstrong\u003e.- AI for Security.\u003c\/strong\u003e\n.- A Reverse Reachable Set Based Approach for Motif Oriented Profit maximization in Social Networks.\n.- AI-INT: An AI-Driven Telemetry Framework for Programmable Networks.\n.- Temporal Analysis Based Exploratory Data Analysis for Phishing Email Detection via Machine Learning.\n\u003cstrong\u003e.- Artificial Intelligence.\u003c\/strong\u003e\n.- Bh¯aluk: Learning the Unknown Basis of Human Olfactory System using Deep Learning.\n.- Hybrid Evolutionary Approaches with Tailor-Made Variation Operators for Multi-Depot Multiple Traveling Salesman Problem.\n.- Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search.\n.- Symbolic-Regression Driven User Profiling for Hierarchical Intersection Collaborative Filtering.\n.- High Utility Itemset Mining using Roaring Bitmaps and Ant Colony Optimization.\n\u003cstrong\u003e.- AI for Medical Diagnostics.\u003c\/strong\u003e\n.- CAMF-SkinNet: Cross-Attention Multimodal Fusion of Visual, Textual, and Dermatology-Specific Embeddings for Skin Disease Classification.\n.- FusePolyp: Complementary Dual Encoder Design and Fusion Strategy Analysis for Medical Polyp Segmentation.\n.- Automated RECIST 1.1 Classification in HCC-TACE Patients using Deep Learning and 26-Connectivity.\n\u003cstrong\u003e.- AI for Health and Bioinformatics.\u003c\/strong\u003e\n.- Integrating Large Language Models and Explainable AI for the Efficient Drug-Drug Interactions Prediction.\n.-  Multi-Agent Decision Support Framework for Bed Allocation and Patient Flow Optimization in Hospitals.\n.- Genomic Language Model Embeddings for Metabolic State Prediction from Mitochondrial Genome Sequences.\n.- Fusing Personality Profiles and Social Media Insights for Stress Detection.\n\u003cstrong\u003e.- AI for Physics.\u003c\/strong\u003e\n.- Earthquake Severity and Probability Prediction.\u003c\/p\u003e","brand":"Springer, Berlin; Springer","offers":[{"title":"Default Title","offer_id":42667161124939,"sku":"00000_00000_00000_00000","price":3208.44,"currency_code":"THB","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0641\/0023\/7387\/files\/9783032166319-1.jpg?v=1783500167","url":"https:\/\/kinokuniya.co.th\/th\/products\/9783032166319","provider":"Books Kinokuniya Thailand","version":"1.0","type":"link"}