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 68 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and research scholars from regional, national, and international levels were invited to present their original unpublished work at this conference.
1 PSO Tuned Reactive Power Compensation in Unbalanced Grid Network Using
Double Boostmodified Dual Controller.- 2 AI-Powered Question Generation and
Evaluation Framework for Enhanced Educational Assessments.- 3 Architectural
Insights: Discover ChatGPT's conversational power based on the GPT
Transformer Framework.- 4 Optimization Methods in Deep Learning: A
Comparative Evaluation.- 5 On Fair Domination in Hypergraphs.- 6 Khasi
Dialect Identification Using Spectrogram and Vision Transformers.- 7
Performance Analysis of Modified Vision Transformer on Khasi Dialects.- 8
Enhancing Fiat-shamir with automorphism: A polynomial commitment scheme.- 9
Adversarial Attention Mechanisms with Convolutional and LSTM Networks for
Unsupervised Video Summarization.- 10 Robust Classification of Human written
vs LLM Generated Essay using Adversarial Training.- 11 Evaluating Smoothing
Methods for Eigenvalue-Weighted Word Similarity.- 12 Analysing the Influence
of Generative AI on B2B Marketing and Business Development.- 13 Development
of an AI based Framework for Reverse Supply Chain of Pharmaceutical
Products.- 14 Classification of online pharmacy consumers into high/low
satisfaction using discriminant analysis.- 15 Comparative study of
performance parameter of Phase-Locked Loops in CNTFET and CMOS technologies
at deep sub-micron level.- 16 Collision-Free Object Handling Using Dex-Net
and Rapidly Exploring Random Trees for Advanced Robotics Path Optimization.-
17 A Comprehensive Machine Learning Framework for Gestational Diabetes
Prediction and Risk Analysis utilizing Explainable AI.- 18 A Comprehensive
Review of Methods and Approaches for Clickbait Detection.- 19 A Comparative
Study of Machine Learning Algorithms for the Prediction of the Proneness to
Substance Abuse of Individuals.- 20 Space News Aggregator.- 21 Optimizing
Binary Sentiment Analysis for Imbalanced Data: Synergizing Resampling
Techniques, Model Tuning, and Explainable AI.- 22 Boosting-based Prediction
and Auto-Optimization Models for Irrigation Scheduling, Soil Deficiency
Analysis.- 23 Machine Learning in Mental Health: Advances in
Depression Detection.- 24 A survey on sleep disorder and advanced methods for
disorder detection.- 25 Development of Cascaded PI controller for Precise
Speed Control of Electric Vehicle.- 26 Annual Precipitation Prediction
Modelling using ML Classifiers: A Brief Study on West Bengal.- 27 Ethical
Approach towards Singularity by Reducing Biases in the Field of Hiring
Employees.- 28 Intelligent Pedestrian Assistant with Obstacle Detection.- 29
Missing Word Prediction using Stochastic Steady State and Bi-graph
Transitions.- 30 Efficient mining of Association Rules using Apache Spark.-
31 Enhanced Credit Card Fraud Detection with Hyperparameter-Optimized XGBoost
Utilizing Custom Loss Function.- 32 Alignment of Blended Learning Adaptation
with Learners Requirement.- 33 A Hybrid Lightweight AI approach for Tamil
English Code Mixed Toxic and Abusive Comment Classification.- 34 Advanced
Fake News Detection: A Benchmark Study Using Machine Learning, Deep learning
and Ensemble Methods.- 35 On Graphs with k-regular Open Packing Set.- 36
Design and Implementation of Vision Based Guidance System for Arc Welding
Robot.- 37 An Intelligent Crop Recommendation System for Informed Decision
Making in Smart Agriculture Ecosystem.- 38 A Comparative Analysis of Deep
Leaning Models to Enhance Question Answering in Depression Management.- 39
Intelligent Audit Log Query Chatbot for Database Forensics Using Large
Language Model (LLM).- 40 Lung Disease Severity Assessment: A Data-Driven
approach to Performance Evaluation of an Optimized Random Forest Regressor
and Other Regression Models.- 41 Thaus Observer for Coulomb Friction
Dominated DC Velocity Servomechanism.- 42 Enhancing COVID-19 Literature
Retrieval: A Compar-ative Evaluation of Full Text, Vector, and Hybrid Search
Methodologies with Reranking for Domain-Specific Question Answering Systems.-
43 ZNN-based Fixed-Time Projective Sliding-Mode Control for Morphing Aircraft
under Actuator Faults.
Dr. Laia Subirats is an Associate Professor at Open University of Catalonia. Dr. Laias 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.
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