Proceedings of Data Analytics and Management

Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala, and Ph.D. from NIT Kurukshetra. He has Industrial experience of 8 years in organisations like Usha Rectifier Corporations and Envirotech Instruments Pvt. Limited. He has 22 years of teaching experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He has served at various administrative positions such as Head of the Department, Division Chair, NBA coordinator for the university, Head Training & Placements. Currently, he is serving as Professor & HoD department of Information Technology in Bhagwan Parshuram Institute of Technology, Rohini, and Delhi. He is actively engaged in research. He has more than 60 quality publications out of which 8 are SCI and 16 scopus. Two of his Ph.D. Scholars have completed his Ph.D. from NIT Kurukshetra and IIT Dhanbad. He is currently supervising one Ph.D. student from AKTU Lucknow.Prof. Bal Virdee graduated with a BSc (Engineering) Honours in Communication Engineering and MPhil from Leeds University, UK. He obtained his PhD from University of North London, UK. He was worked as an academic at Open University and Leeds University. Prior to this, he was a research and development Electronic Engineer in the Future Products Dept. at Teledyne Defence (formerly Filtronic Components Ltd., Shipley, West Yorkshire), and at PYE TVT (Philips) in Cambridge. He has held numerous duties and responsibilities at the university, ie: Health and Safety Officer, Postgraduate Tutor, Examination’s Officer, Admission’s Tutor, Short Course Organiser, Course Leader for MSc/MEng Satellite Communications, BSc Communications Systems and BSc Electronics. In 2010 he was appointed Academic Leader (UG Recruitment). He is a member of ethical committee, member of the school's research committee, and research degrees committee.Prof. Sérgio D. Correia received his Diploma in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2000, his Master's Degree in Industrial Control and Maintenance Systems from Beira Interior University, Covilhã, Portugal, in 2010, and the Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2020. He is a Professor at the Portalegre Polytechnic University, Portugal, where he is the head of the Laboratory for Electronics and Instrumentation (LEI). He is a Researcher at NOVA School of Science and Technology, Center of Technology and Systems (UNINOVA-CTS), and VALORIZA - Research Center for Endogenous Resource Valorization, Portalegre Polytechnic University, Portalegre, Portugal. His current research interests are Embedded Artificial Intelligence, Soft Computing, Embedded Systems, and Computer Architecture, topics on which he is an editor of several scientific journals and a collaborator at several International Conferences.Prof. (Dr.) Zdzislaw Polkowski is an Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also the Rector's Representative for International Cooperation and Erasmus Programme and former dean of the Technical Sciences Faculty during the period of 2009–2012 His area of research includes Management Information Systems, Business informatics, IT in business and administration, IT security, Small Medium Enterprises, CC, IoT, Big Data, Business Intelligence, and Block chain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in the various parts of the world.  He is also playing the role principal investigator.

• Exploring the impact of the W-MSA approach for Swin Transformer on Medical Leaf Imaging.- Enhancing Sales Forecasting Accuracy Through Machine Learning Models in Business Analytics.- The Role of Artificial Intelligence in Detecting and Preventing Advanced Phishing Attacks.- Object Detection using Deep Learning: A Comparative Study of YOLOv8, YOLOv8+RCNN, and YOLOv8+EfficientDet.- A Systematic Review on Advancing Brain Tumors Diagnosis with Artificial Intelligence.- Optimizing Financial Decision-Making in Corporate Treasury Management Using Reinforcement Learning and Neural Networks for Liquidity Forecasting.- Advanced Machine Learning for Data-Driven Consumer Behavior Prediction in Retail Management.- AI-Driven Predictive Analytics and Deep Learning for Demand Forecasting and Inventory Optimization in Supply Chain Management.- Predicting Shelf Life of Fruits and Vegetables through Vision Transformer.- Comparative Analysis of Steganographic Techniques Using Online Encoding and Decoding Framework.- Leaf-Based Disease Detection using Machine Learning Model in Tomato.- Multi-Class Network Attack Detection Using Supervised , Unsupervised, and Hybrid Machine Learning on the UNSW-NB15 Dataset.- Predicting Consumer Buying Behavior Using Hybrid Machine Learning Models: A Multi- Dimensional Analysis of Online Retail Data.- Federated Learning in Cloud Environments Enhancing  Privacy and Performance.- Face_Secure: A New Era Of Intelligent Door Security.