Data Science and Intelligent Systems

Proceedings of DSISys 2025, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-33683-5
Verlag: Springer

Buch, Englisch, 296 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

The book is a collection of best-selected research papers presented at International Conference on Data Science and Intelligent Systems (DSISys 2025 ), organized by Dayananda Sagar College of Arts, Science and Commerce, Bengaluru, India, during 23 – 24 December 2025. This book presents new knowledge and recent developments in data science, business analytics, computational techniques, artificial intelligence and intelligent computing.

Zielgruppe

Research

Autoren/Hrsg.

Bhattacharyya, Siddhartha

Podder, Suplab Kanti

Samanta, Debabrata

Platos, Jan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Natürliche Sprachen & Maschinelle Übersetzung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Automating the DevOps Lifecycle with MLOps: A Case for Meta-MLOps.- Optimized EfficientNet Model for Mango Leaf Disease Detection.- ShiftGuard: Federated Early-Warning Models Robust to Hospital Shift.- iShuffle-LinkNet: Sequence-Based Prediction of Protein- Protein Interactions Using Gene Ontology and Sequence Features.- AI Capability, Data Science Utilization Intensity, and Sustainability Performance: The Mediating Role of Data-Driven Decision Quality.- Auto Assign: Smart Department Predictor with Multilingual Support.- Enhancing Data Update and Retrieval Processes with PHP and MySQL Databases.- Agile-Driven Transformer-Based Foundational Archi-tectures for Efficient Multimodal Perception and Predic-tion in Robotics, Healthcare, and Enterprise AI.- Stroke Prediction by using Machine Learning algorithm based on symptoms.- Multilingual AI Interaction System for Elderly-Centric Essential Services.- Exploring PCOS Risk Factors Using Data Visualization.- Detection of Financial Fraud in Banking using Machine Learning and Resnet-50 with Fairness Evaluation.- Impact of FinTech on Traditional Banking Models: A Literature-Based Analysis.- A Static Analysis-Based Framework for Smart Contract Vulnerability Detection and Security Enhancement.- Artificial Intelligence for Sustainable Performance in Financial Services: A Bibliometric and Systematic Review.- etc.

Über Autor(innen)

Siddhartha Bhattacharyya [FRSA (UK), FIET (UK), FIEI (I), FIETE, LFOSI, FSCRS, SMIEEE, SMACM, SMAAIA, SMIETI] is currently serving as a Senior Researcher in the Faculty of Electrical Engineering and Computer Science at VSB Technical University of Ostrava, Czech Republic. He is also serving as the Scientific Advisor at the Algebra Bernays University, Zagreb, Croatia. He is a co-author of 8 books and the co-editor of 117 books and has more than 450 research publications in international journals and conference proceedings to his credit. He has two PCTs and 21 patents to his credit. He has served on the organizing and technical program committees of several international conferences. He serves as the Editor-in-Chief of Applied Soft Computing Journal, Senior Editor of IEEE Access, and Associate Editor of several reputed journals, including Evolutionary Intelligence, CAAI Transactions on Intelligence Technology, and IET Quantum Communications.

 Dr. Suplab Podder is presently working as Research Coordinator at Dayananda Sagar College of Arts, Science and Commerce, Bengaluru, India. He has been awarded Post-Doctoral Fellowship from RIT KOSOVO, Europe, in the area of HR Analytics and Data Science. He has awarded Doctor of Philosophy (PhD) in Management from Bharathiar University, Coimbatore, India. Dr. Podder has registered 5 Patents in the area of Creativity and Innovation in Quality Education and Sustainability, Computer Added Progressive Die Design with Energy Conservation. He has registered 4 Copyrights in the area of Human Resource Outsourcing, Innovative Model for Unorganized Sector, Industry 4.0 and Innovative Model of Education 4.0.

Dr. Samanta works as Program Head and Assistant Professor at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in SAR Image Processing. He is keenly interested in Interdisciplinary Research and development. He has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, and Natural Language Processing.

Jan Platos is a professor at the Department of Computer Science and, since 2025, the Vice-rector for Research, Science and Doctoral studies, VSB-TUO, Czech Republic. He's focused primarily on the industrial applications of machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction. He's authored more than 280 scientific publications in journals and conferences.