Chatterjee / Kothapalli / Mittal Distributed Computing and Intelligent Technology

22nd International Conference, ICDCIT 2026, Bhubaneswar, India, January 16–19, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-16632-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 546 Seiten

Reihe: Computer Science (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Chatterjee, Bapi

Kothapalli, Kishore

Mittal, Neeraj

Natarajan, Arul Murugan

Singh, Dinesh

Inhaltsverzeichnis

.- 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.