Description
This book includes high-quality papers presented at the Fourth International Conference on Data Science and Management (ICDSM 2025), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from December 19-20, 2025. It features research in which data science is used to facilitate the decision-making process in various application areas and covers a wide range of learning methods and their applications in several learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands. The work is presented in two volumes.
Data-Driven Revenue Forecasting in Ecommerce: Ensemble and Tree Based Regression Approach.- XAI-Driven Retail Recommendation System: Enhancing Transparency and Trust in Customer-Centric Decision-Making.- Earthquake Magnitude Prediction with Feature Optimi-zation: Integrating Genetic Algorithms with Ensemble and Deep Learning Models.- Deep Learning-Based Detection of Suicidal Tendencies from Social Media Content.- Multi-Modal Adversarial Deepfake Detection Using Face-Voice Discrepancy and Lip-Sync Verification.- AI Powered Object and Color Detection with Sound Assistance for Visually Impaired People.- Tabular Data Augmentation with Deep Learning for Multi-Chronic Disease Prediction: A Review.- Advanced Statistical Analysis for Canine Dermatological Disease Classification Using MobileNetV2: A Novel Deep Learning Approach with Comprehensive Model Validation.- Enhancing Human Emotion Prediction using Random Forest Algorithm.- Explainable and Fair Machine Learning for Plant Disease Diagnosis: A Path Towards Responsible Agricultural AI.- AI-Driven Fusion CNN with PCA for Clinical Brain Tumor Diagnosis.- Adversarial Robust Deep Models for Detecting Sophisticated Image Forgeries in Multimedia Forensics.- An Empirical Benchmark of Deep Learning for High-Dimensional Crypto Forecasting.- Comparative Analysis of Various Machine Learning Tools in the Prediction of Cardiac Arrest.- An Ant Colony Optimization Approach for Online Sequential Extreme Learning Machine in Stock Market Prediction.- etc.
Dr. Samarjeet Borah is currently a Professor and Head of the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has led various funded projects from AICTE and DST-CSRI and has published approximately 120 research papers in reputed journals and conferences. Dr. Borah has organized several national and international workshops and conferences. He is actively involved with esteemed book series and journals from Springer, IEEE, Inderscience, and IGI Global as a Guest Editor. Additionally, he serves as the Editor-in-Chief of two book and proceedings series: Research Notes on Computing and Communication Sciences (Apple Academic Press, USA) and Synergy Spectrum: Computing, Business, and Legal Insights (Nova Science Publishers, USA).
Dr. Sambit Kumar Mishra is having more than 27 years of teaching experience in different AICTE approved institutions in India. He obtained his bachelor s degree in engineering in Computer Engineering from Amravati University, Maharashtra, India in 1991, M.Tech. in Computer Science from Indian School of Mines, Dhanbad (Now IIT, Dhanbad), India in 1998 and Ph.D. in Computer Science and Engineering from Siksha O Anusandhan University, Bhubaneswar, Odisha, India in 2015. He has more than 37 publications in different peer reviewed International indexed Journals and editorial board member of different peer reviewed indexed Journals. His areas of research are Data Mining, Database Engineering and Computer architecture. Presently he is working as Professor in the Department of Computer Science and Engineering, Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India.
Dr. Milan Tuba, Professor of Computer Science, Mathematics and Electrical Engineering, Head of the Artificial Intelligence Project at Singidunum University and Vice-Rector of Research at Sinergija University received B. S. in Mathematics, M. S. in Mathematics, M. S. in Computer Science, M. Ph. in Computer Science, Ph.D. in Computer Science from University of Belgrade and New York University. He is included in both versions of the Stanford University list of 2% of the most influential scientists in the world in all disciplines, one for contribution during the entire career and other for contribution in the previous year (for years 2020, 2021, 2022, 2023 and 2024). Prof. Tuba was the highest ranked researcher in Serbia for Computer Science field at AD Scientific Index - World Scientists Rankings.
Dr. Zdzislaw Polkowski is professor of UJW and Rector s Representative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Also, he is professor of WSG University Bydgoszcz and Rector's Representative for International Cooperation, Poland. Since 18 October 2024 Dr. Polkowski Post Doctoral Fellow (PDF) in Marwadi University, Rajkot, India. Additionally, he is a visiting professor in University of Pitesti, Romania, Swami Sahajanand School of Management, Bhavnagar, India and adjunct professor, Swami Sahajanand College of Commerce & Management, Bhavnagar, India. He is the former dean of the Technical Sciences Faculty during the period 2009 -2012 at UZZM in Lubin.
-
- 電子書籍
- ビエルサ・ノート 幻冬舎単行本
-
- CD
- 開歌－かいか－／揺動
