Advanced Computational and Communication Paradigms

Proceedings of ICACCP 2025, Volume 2
Erscheinungsjahr 2026
ISBN: 978-3-032-13543-8
Verlag: Springer

Buch, Englisch, 519 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book presents high-quality, peer-reviewed papers from 5th International Conference on Advanced Computational and Communication Paradigms (ICACCP 2025), organized by Department of Computer Science and Engineering (CSE), Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University, Sikkim, India, during 6–8 June 2025. The book covers advanced computational paradigms and communications techniques which provide failsafe and robust solutions to the emerging problems faced by mankind. Technologists, scientists, industry professionals, and research scholars from regional, national, and international levels were invited to present their original unpublished work at this conference.

Zielgruppe

Research

Autoren/Hrsg.

Subirats, Laia

Gurung, Sandeep

Ningombam, Dhruba

Banerji, Nandan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

Multi-layer Torque Distribution Strategy for Dual Traction Electric Vehicle.- Development of IoT based Energy Management System to Maximize Energy
Savings.-Fine Tuning GPT – 4o for Interior Design CHATBOT.- Joint Sum Rate and Fairness Optimization in NOMA Networks Under Minimum
Power Gap Constraint.- Cloudburst Detection from Satellite Images using Haralick Features and Random Forest Classifier.- A concept of on-demand Continuous Integration and Continuous Delivery framework.- PROTECT: Proactive Recognition of Offensive Texts, Images, Videos, and Memes Through AI.- A Novel Signal Detection Technique for Uplink Massive MIMO System.- Efficient Resource Allocation in IoT: A Matching-Theory-Based Approach to Channel Assignment.- Enhancing Fiat-Shamir with Automorphisms: A Polynomial Commitment Scheme.- GDP and Unemployment Prediction using Software Transactional Memory.- Integrating Temporal and Spatial Features for Parkinson’s Disease Diagnosis from Handwriting Images.- A novel RGB feature based coral bleaching detection using SLIC Superpixel
Segmentation.- Sixth Generation (6G) Wireless Communications: A perspective View.- IoT-based Assistive Device for Bridging Communication between Differently Abled and Abled Individuals.- AI Based Aerial Image Classification.- A Deep Learnning Approach for Heart Disease Prediction.- Communication Protocols in IoT: A Comparative Review of Standards and Applications.- Optimized Technique for Intrusion Detection Systems using Machine Learning
Models with Metaheuristic Algorithms.- Enhancing Melanoma Diagnosis in the USA with AI-Powered Innovations.- SA-MLP: Accurate and Interpretable Breast Cancer Detection with Feature Selection and Explainable AI.- Taylor Series Optimization in Encryption and Decryption using Parallel
Computing in Cryptography.- Deep Learning for Handwritten Digit Recognition: A Convolutional Neural Network Approach.- Design and Performance Evaluation of a Li-Fi System for Indoor Wireless Communication.- Deep Learning Based AI-Generated Image Detection.- HealthGuard: A Blockchain- Powered Structure for Safe Electronic Health Record Administration.- Prediction of Indian Tropical Cyclones using Machine Learning techniques.- Design and Implementation of CodeSourcerer: A Proxy- Based Test Generation System for GitHub CI/CD Pipelines.- ViT-GA-AVSS: Optimizing Vision Transformer-Based Audio-Visual Speech Synthesis Approach Using Genetic Algorithm.- A Requirement of Decentralized Labor Management System (DLMS).- Cooperative Game Theory based resource allocation in text based semantic communication.- A Blockchain-Based Framework for Secure Pharmaceutical Supply Chain and Prescription Management.- Attention-Based Caption Generation for Optical Remote Sensing Images Using Deep Learning Techniques.- Evaluating Seasonal Changes in Vegetation and LST Using NDVI in Sillod, Maharashtra.- Review of Digital Signature Schemes for Ensuring Non-Repudiation in Blockchain Systems.- LoRaWAN and STM32 based Lighting System for Smart Campus.- Application for Object and Currency Detection with Enhanced Accessibility for Visually Impaired Individuals.- Automated Detection and Classification of Multi-species Malaria Parasites using YOLOv11.- Multi-Feature Collaborative Traffic Management: An AI and IoT-Integrated Approach.- Anatomically Plausible Generative Data Augmentation for Liver Tumor Segmentation.- Iron Oxide-Tungsten Trioxide (Fe3O4-WO3) Nanocomposite Image Analysis using Digital Image Processing Techniques.- Cloud Computing Adoption in SMEs: A Systematic Review of Adoption Models and Future Research Agenda.- A Comparative Study of Standard Datasets in Intrusion Detection System using various Artificial Neural Networks Techniques.

Über Autor(innen)

Dr. Laia Subirats is an Associate Professor at Universitat Oberta de Catalunya (Open University of Catalonia). Dr. Laia’s interests focus on artificial intelligence applied to neurological disabilities. Her research aims to establish a diagnosis of the quality of life and also perform social network analysis. Her interests also include artificial intelligence applications of citizen science, where she contributed to neurological diseases and seawater quality. Finally, she has also applied artificial intelligence to the world of education, focusing on the impact that COVID-19 has had on higher education, intelligent tutors, and multimodal streaming data analysis. Overall, she has published more than 30 articles in journals and conferences such as Engineering Applications of Artificial Intelligence, PLoS ONE, International Journal of Neural Systems, NPJ Digital Medicine, Journal of Biomedical Informatics, ACM Web Science Conference, IEEE Frontiers in Education Conference and IEEE Symposium on Computer-Based Medical Systems.

Dr. Sandeep Gurung is currently working as an Professor in the Department of Computer Science & Engineering, Sikkim Manipal Institute of Technology, Sikkim. He has been associated with the department since 2003. Dr Gurung completed his Ph.D. from Sikkim Manipal University; his work was focused on Hybridization of Visual Cryptography and Steganography on Digital Images. His key research interests include cryptography and network security, ethical hacking and soft computing. He has published several papers and in reputable journals and conferences.

Dr. Dhruba Ningombam is currently working as an Assistant Professor (Selection Grade) in the Department of Computer Science & Engineering at Sikkim Manipal Institute of Technology, Sikkim. He has been associated with the department since 2003. Dr. Dhruba completed his Ph.D. from Sikkim Manipal University, his M.Tech from Sikkim Manipal Institute of Technology, and his B.E. from the Government College of Technology, Coimbatore. His doctoral work focused on the architecture of cloud robotics. His key research interests include cloud robotics, robotics, and intelligent systems. He has published several papers in reputed journals and conferences. 

Dr. Nandan Banerji currently, he is working as an assistant professor at the Department of Computer Science & Engineering, BIT Mesra (Lalpur Campus), Ranchi, India since October 2025. Before that he was attached with the Department of Computer Science & Engineering, SMIT, Sikkim (from Match 2022 to October 2025). He has around 15 years of academic and research experience. He has completed his PhD in computer science and engineering from NIT Durgapur, India in 2024. He has published several quality journals and conferences including book chapters and patents as well. His research interests include distributed systems and networks, ubiquitous computing, the Internet of Things, Service Oriented Computing and Agent Based Modelling, Intelligent Systems, and Federated Learning. In 2024, he was invited as speaker at 10th IEEE World IoT Forum, Ottawa, Canada. Also, he has been invited as speaker at the 11th IEEE WF-IoT will be held in Chengdu, China, from October 27 to 30, 2025.