Full Description
This 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.
The 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.
Contents
.- Dynamic and Temporal Graph Algorithms.
.- When Agents are Powerful: Black Hole Search in Time-Varying Graphs.
.- On Fixed-Parameter Tractability of Weighted 0-1 Timed Matching Problem on Temporal Graphs.
.- Algorithms with Agents and Robots.
.- Improved Linear-Time Construction of Minimal Dominating Set via Mobile Agents.
.- Collaborative Dispersion of Silent Robots with Different Wake-Up Time.
.- Separation of Unconscious Robots with Obstructed Visibility.
.- Cloud based Systems and Algorithms.
.- VMigrate+: A Lattice-Theoretic and Cost-Aware Framework for SLA-Compliant VM Migration in Dynamic Cloud Infrastructures.
.- Efficient Data Sharing Based on IBE to ABE Conversion for Cloud-Assisted Environments.
.- MobiTest: A testbed for harnessing the computing power of discarded smartphones.
.- Formalisms and Fault-Tolerance.
.- Integral implementation of Higher-order Algebraic Petri Nets in Maude.
.- Reconfigurable mutli-formalism models for performance analysis of distributed systems.
.- Fault-Tolerant Decentralized Distributed Asynchronous Federated Learning with Adaptive Termination Detection.
.- Computer Vision.
.- Improved Single-Stage Facial Landmarks for Real-Time Driver Drowsiness Detection.
.- Restoring Motion: A Video Inpainting Method for Moving Instances.
.- UKANETR: A Kansformer-based Interpretable UNET for Brain Tumor Segmentation.
.- Axial-UNet: A Neural Weather Model for Precipitation Nowcasting.
.- NLP and LLMs.
.- KUI-2SR: A Unified Speech and Speaker recognizer for KUI Language.
.- Revise to Precise: Self-Assessing Chain-of-Draft for Robust Decision-Making in LLMs.
.- A Novel Explainable Multimodal Edge Framework for Stress Detection.
.- AI for Security.
.- A Reverse Reachable Set Based Approach for Motif Oriented Profit maximization in Social Networks.
.- AI-INT: An AI-Driven Telemetry Framework for Programmable Networks.
.- Temporal Analysis Based Exploratory Data Analysis for Phishing Email Detection via Machine Learning.
.- Artificial Intelligence.
.- Bh¯aluk: Learning the Unknown Basis of Human Olfactory System using Deep Learning.
.- Hybrid Evolutionary Approaches with Tailor-Made Variation Operators for Multi-Depot Multiple Traveling Salesman Problem.
.- Optimization of Latent-Space Compression using Game-Theoretic Techniques for Transformer-Based Vector Search.
.- Symbolic-Regression Driven User Profiling for Hierarchical Intersection Collaborative Filtering.
.- High Utility Itemset Mining using Roaring Bitmaps and Ant Colony Optimization.
.- AI for Medical Diagnostics.
.- CAMF-SkinNet: Cross-Attention Multimodal Fusion of Visual, Textual, and Dermatology-Specific Embeddings for Skin Disease Classification.
.- FusePolyp: Complementary Dual Encoder Design and Fusion Strategy Analysis for Medical Polyp Segmentation.
.- Automated RECIST 1.1 Classification in HCC-TACE Patients using Deep Learning and 26-Connectivity.
.- AI for Health and Bioinformatics.
.- Integrating Large Language Models and Explainable AI for the Efficient Drug-Drug Interactions Prediction.
.- Multi-Agent Decision Support Framework for Bed Allocation and Patient Flow Optimization in Hospitals.
.- Genomic Language Model Embeddings for Metabolic State Prediction from Mitochondrial Genome Sequences.
.- Fusing Personality Profiles and Social Media Insights for Stress Detection.
.- AI for Physics.
.- Earthquake Severity and Probability Prediction.
