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ORCIDICDCIT 2026, Bhubaneswar, India
- Bapi Chatterjee, Kishore Kothapalli, Neeraj Mittal, Arul Murugan Natarajan, Dinesh Singh:
Distributed Computing and Intelligent Technology - 22nd International Conference, ICDCIT 2026, Bhubaneswar, India, January 16-19, 2026, Proceedings. Lecture Notes in Computer Science 16420, Springer 2026, ISBN 978-3-032-16631-9
Dynamic and Temporal Graph Algorithms
- Tanvir Kaur, Ashish Saxena:
When Agents are Powerful: Black Hole Search in Time-Varying Graphs. 3-18 - Rinku Kumar, Bodhisatwa Mazumdar, Subhrangsu Mandal:
On Fixed-Parameter Tractability of Weighted 0-1 Timed Matching Problem on Temporal Graphs. 19-31
Algorithms with Agents and Robots
- Prabhat Kumar Chand, Anisur Rahaman Molla:
Improved Linear-Time Construction of Minimal Dominating Set via Mobile Agents. 35-51 - Barun Gorain, Subhrangsu Mandal, Yash Sharma:
Collaborative Dispersion of Silent Robots with Different Wake-Up Time. 52-67 - Prajyot Pyati, Navjot Kaur, Saswata Jana, Adri Bhattacharya, Partha Sarathi Mandal:
Separation of Unconscious Robots with Obstructed Visibility. 68-84
Cloud based Systems and Algorithms
- Nirmalya Mukhopadhyay, Babul P. Tewari, Tanmay De:
VMigrate+: A Lattice-Theoretic and Cost-Aware Framework for SLA-Compliant VM Migration in Dynamic Cloud Infrastructures. 87-102 - Koshalesh Meher, Y. Sreenivasa Rao:
Efficient Data Sharing Based on IBE to ABE Conversion for Cloud-Assisted Environments. 103-119 - Pramod Tripathi, Vishal Dhoriya, Kalyan Sasidhar, Amit Mankodi:
MobiTest: A Testbed for Harnessing the Computing Power of Discarded Smartphones. 120-134
Formalisms and Fault-Tolerance
- Lorenzo Capra, Michael Köhler-Bußmeier:
Integral Implementation of Higher-Order Algebraic Petri Nets in Maude. 137-153 - Lorenzo Capra, Marco Gribaudo, Mauro Iacono:
Reconfigurable Multi-formalism Models for Performance Analysis of Distributed Systems. 154-170 - Phani Sahasra Akkinepally, Manaswini Piduguralla, Sushant Joshi, Sathya Peri, Sandeep S. Kulkarni:
Fault-Tolerant Decentralized Distributed Asynchronous Federated Learning with Adaptive Termination Detection. 171-186
Computer Vision
- Nandani Sharma, Sachin Banothu, Mahek Shah, Dinesh Singh:
Improved Single-Stage Facial Landmarks for Real-Time Driver Drowsiness Detection. 189-204 - Rishabh Shukla, Harkeerat Kaur:
Restoring Motion: A Video Inpainting Method for Moving Instances. 205-219 - Rajib Kumar Chatterjee, Abhay Kumar Tiwari, Sayoni Bhattacharyya, Rohit Agarwal, Anup K. Sadhu, Debashis Nandi:
UKANETR: A Kansformer-Based Interpretable UNET for Brain Tumor Segmentation. 220-234 - Sumit Mamtani, Maitreya Sonawane:
Axial-UNet: A Neural Weather Model for Precipitation Nowcasting. 235-249
NLP and LLMs
- Malay Kumar Majhi, Sujan Kumar Saha:
KUI-2SR: A Unified Speech and Speaker Recognizer for KUI Language. 253-264 - Pratyay Banerjee, Panthadeep Bhattacharjee, Angshuman Jana:
Revise to Precise: Self-assessing Chain-of-Draft for Robust Decision-Making in LLMs. 265-281 - Ojasvi, Kashish, Ravneet Kaur, Rajendra Kumar Roul, Shalini Batra:
A Novel Explainable Multimodal Edge Framework for Stress Detection. 282-298
AI for Security
- Poonam Sharma, Suman Banerjee:
A Reverse Reachable Set Based Approach for Motif Oriented Profit Maximization in Social Networks. 301-316 - Amit Kumar Singh, Mayank Pandey:
AI-INT: An AI-Driven Telemetry Framework for Programmable Networks. 317-330 - Tanmoy Chanda, Biva Mondal, Subhashis Das, Soumendu Banerjee, Bappaditya Mondal:
Temporal Analysis Based Exploratory Data Analysis for Phishing Email Detection via Machine Learning. 331-340
Artificial Intelligence
- Avinash Kushwaha, Prashant D. Kulkarni, Richa Thakur, Shubhajit Roy Chowdhury, Aditya Nigam, Dinesh Singh:
Bh$\bar{a}$luk: Learning the Unknown Basis of Human Olfactory System Using Deep Learning. 343-357 - Sanjeev Chauhan, Alok Singh, Rammohan Mallipeddi:
Hybrid Evolutionary Approaches with Tailor-Made Variation Operators for Multi-depot Multiple Traveling Salesman Problem. 358-376 - Kushagra Agrawal, Nisharg Nargund, Oishani Banerjee:
Optimization of Latent-Space Compression Using Game-Theoretic Techniques for Transformer-Based Vector Search. 377-389 - Pushya Chaparala, P. Nagabhushan:
Symbolic-Regression Driven User Profiling for Hierarchical Intersection Collaborative Filtering. 390-405 - Het Dharmendra Dhinoja, Kuldeep Singh, Rajiv Kumar:
High Utility Itemset Mining Using Roaring Bitmaps and Ant Colony Optimization. 406-421
AI for Medical Diagnostics
- Routhu Srinivasa Rao, Aradhana Mishra, Sanjay Swain:
CAMF-SkinNet: Cross-Attention Multimodal Fusion of Visual, Textual, and Dermatology-Specific Embeddings for Skin Disease Classification. 425-435 - Panigrahi Srikanth, Kaushal Sambanna, Sanjana Jhansi Ganji, Routhu Srinivasa Rao:
FusePolyp: Complementary Dual Encoder Design and Fusion Strategy Analysis for Medical Polyp Segmentation. 436-451 - Rohit Agarwal, Sayoni Bhattacharyya, Rajib Kumar Chatterjee, Anup K. Sadhu, Narayan Murmu, Debashis Nandi:
Automated RECIST 1.1 Classification in HCC-TACE Patients Using Deep Learning and 26-Connectivity. 452-464
AI for Health and Bioinformatics
- Gori Sankar Borah, Amit Kalita, Debasish Saikia, Selvaraman Nagamani:
Integrating Large Language Models and Explainable AI for the Efficient Drug-Drug Interactions Prediction. 467-478 - Trishna Paul, Tufan Paul, Arindam Kolay:
Multi-agent Decision Support Framework for Bed Allocation and Patient Flow Optimization in Hospitals. 479-494 - Dibyendu Kishore Majumder, Sharvari Shet, Nithya Ramakrishnan, Rajalakshmi Srinivasan, Shyam Sundar Rajagopalan:
Genomic Language Model Embeddings for Metabolic State Prediction from Mitochondrial Genome Sequences. 495-509 - Rajendra Kumar Roul, Aarpit Kumar Roul, Navpreet:
Fusing Personality Profiles and Social Media Insights for Stress Detection. 510-525
AI for Physics
- Nikhil Dwivedi, Bhumika, Debasis Das:
Earthquake Severity and Probability Prediction Using Spatiotemporal Learning. 529-544
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