Proceedings of the Second International Conference on Advanced Computing and Systems
Description
This book presents peer-reviewed high-quality research papers presented at the International Conference on Advanced Computing and Systems (AdComSys 2025), held at the University of Engineering and Management, Kolkata, India, during June 26-27, 2025. The content emphasizes the importance of advanced computing in advanced systems pertaining to cloud computing, parallel computing, green computing, evolutionary computing, human-centric computing, quantum computing, fuzzy systems, machine learning, deep learning, generative models, NLP, big data, IoT, 5G and beyond 5G, Industry 4.0, blockchain authentication, cryptocurrency, encryption techniques, cybernetics, and crypt analysis. This book offers an asset for academia and industry to bridge the gap between scholarly research, industrial initiatives, and governmental.
More details
Other editions
Additional editions
Persons
Dr. Weiping Ding received Ph.D. degree in Computer Science from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2013. From 2014 to 2015, he is a postdoctoral researcher at the Brain Research Center, National Chiao Tung University, Hsinchu, Taiwan. In 2016, He was a visiting scholar at National University of Singapore, Singapore. From 2017 to 2018, he was a visiting professor at University of Technology Sydney, Ultimo, NSW, Australia. Now, he is a professor of School of Information Science and Technology, Nantong University, China. His research interests include deep neural networks, multimodal machine learning, and medical images analysis. He has published over 200 articles, including over 90 IEEE journal papers, such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation.
Dr. Amlan Chakrabarti is a professor and the director of the A K Choudhury School of Information Technology at the University of Calcutta. He is also the former dean, faculty of Engineering and Technology of his University during (2016-2019). He completed M.Tech. from the University of Calcutta (2001) and did Ph.D. from the same University in association with ISI, Kolkata (2010). He was a post-doctoral fellow at the School of Engineering, Princeton University, USA, during 2011-2012. He has almost 20 years of experience in Engineering Education and Research. He received the DST BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award (2017), Hamied Visiting Professorship from University of Cambridge, UK (2018), Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018), and IBM Quantum Researchers Access Award in 2021.
Dr. Maumita Chakraborty received her B.Tech. degree in Information Technology from University of Kalyani, India, and her M.E. degree in Software Engineering from Jadavpur University, India. She had worked as a Software Engineer in Infosys Technologies Ltd. and then as an associate system engineer in Praxis Softek Solutions Pvt. Ltd. Maumita received her Ph.D. degree in Computer Science and Engineering from University of Calcutta. She had worked for more than 12 years in Institute of Engineering and Management Kolkata. Currently, she is acting as a professor and head for the Department of Computer Science and Information Technology in University of Engineering and Management Kolkata. Her major research interests include Graph theory and its applications, Data structure and algorithms, Networking, Mobile computing, Blockchain, and many more.
Dr. Shouvik Chakraborty is a lecturer in Computer Science & Technology, In-charge, Machine Intelligence and Computer Vision Laboratory, Women's Polytechnic, Chandernagore, Govt. of West Bengal. His research interests include Soft and Evolutionary Computing, Digital Image Processing, Bio-medical Image Analysis, Pattern Recognition, Machine Learning, Optimization Techniques, and Image Encryption. He has published one edited book, several book chapters, and journal articles, and published and presented many research papers at different reputed international and national conferences.
Content
Deep Learning-Based Speech Emotion Recognition: Comparative Analysis of Neural Architectures and Feature Extraction Techniques.- AI-Driven Business Intelligence for Optimizing Energy Efficiency in Smart Urban Systems: A Comparative Study.- FitFinder: A Next-Gen Resume Analyser for Data Driven Talent Acuisition.- A Deep Learning-Based Method for the Categorization of Different Skin Diseases.- Detecting Communities using Time Stamp-Based Leiden approach in Dynamic Social Networks.- AWLR: Attention-weighted logistic regression for fake news detection via named entity recognition and semantic similarity measures.- Optimization and Comparison of Machine Learning Models for Predictive Modeling of Photoluminescence spectrum of freestanding colloidal Silicene ink: A Multi-Factor Performance Evaluation Framework.- FCTFold: A Fused CNN-Transformer Framework for Protein Fold Prediction in AMR PathogensS.- Unveiling Drug Targets in ESKAPE Pathogens via Computational Insights.- MediFlow: An End-to-end Smart Medical Ecosystem.- A Generalized Approach for Estimating Memory In Ho-Mogeneous Homoscedastic Time Series: A Case Study On Polynomial Memory Of Order 2.- Advancements in IoT-Integrated Night Security Alarm Systems: Bridging Cost-Effectiveness and Technological Innovation for Enhanced Safety.- Rice Leaf Disease Detection: Advances, challenges, and future directions.- ThoraxAI: A Unified AI pipeline for Thoracic X-ray Analysis.- Private schemes for cybersecurity certifications: Experimental Modelling and Forecasting for Success.- Sustainable Development Goals and Social Sector Expenditure in India: Using Tax Revenue as a Moderator.- Robust Flower Species Classification: A Transfer Learning Approach with Context-Aware Adaptive Augmentation.- Label Chain: Blockchain-Integrated Payment Verification for a Secure Data Labelling Platform Using AWS Cloud Storage.- Design and Implementation of Elephant Detection System in Tribal Village using Computer Vision.- Isolating-PageRank: Measuring Influence of Nodes in Complex Networks.- GourNet: A CNN-Based Model for Mango Leaf Disease Detection.- High Fidelity Indoor 3D Scene Reconstruction With Enhanced Dynamic Object Handling.- WavXAI-EmoNet: Explainable Emotion Understanding through VAD Mapping and Multimodal Sensor Fusion.- Real-Time Driver Fatigue Detection to Enhance Road Safety.- Towards Trustworthy E-Voting: Cryptography and CyberPhysical System Approaches.- Nucleus Instance Segmentation and Metastatic Tissue Identification using Machine Learning.- A Study on Phylogenetic Trees: Generation and Applications.- Innovative IoT-Based Healthcare Devices: A new Era of Patient Monitoring and Care.- Performance Evaluation of Classification Algorithms for the Prediction of Lung Cancer.- Graph Representation of Multi-omic data for improved Breast Cancer subtype prediction.- Machine Learning for Thyroid Disease Prediction: Evaluating Classifiers and Feature Selection Strategies.- TRES: A Transparent Rule Extraction System for Breast Cancer Diagnosis.- Artificial Intelligence in Travel and Hospitality: A New Era for Visitor Engagement.- Exploring Diverse Techniques to Analyze Sentiments.- Machine Learning-Based Analysis of Electricity Generation on Real-Time Data from Sikkim Regions.- Optimizing Machine Learning for Short- and Long-Term Rainfall Prediction in Bangladesh's Flood-Prone Sylhet Region: A Multi-Timescale Dataset Approach.- Determining Suicidal Texts via Artificial Intelligence.- Analysis of Failure Mechanism Identification in Electronic Machining Components Using Machine Learning Approach.- Predicting The Battery State of Health Using Deep Neural Networks: A Hybrid LSTM-Attention Model With Data Validation.- A Robust Artificial Intelligence-Based Financial Forecasting System to Enhance Accuracy with Machine Learning Algorithms.- Using Attention-Based LSTM Model with VADER Integration for Improved Aspect Based Sentiment Analysis.- Effective Role of Missing Value Imputation Techniquesin Machine Learning Based Credit Default Risk Prediction.- Closing Price Prediction of The Stocks Using Gradient Descent based Linear Regression method.