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Bhattacharyya / Podder / Samanta

Data Science and Intelligent Systems

Proceedings of DSISys 2025, Volume 1

Medium: Buch
ISBN: 978-3-032-33683-5
Verlag: Springer
Erscheinungstermin: 28.10.2026
vorbestellbar, Erscheinungstermin ca. Oktober 2026

The book is a collection of best-selected research papers presented at International Conference on Data Science and Intelligent Systems (DSIS 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.


Produkteigenschaften


  • Artikelnummer: 9783032336835
  • Medium: Buch
  • ISBN: 978-3-032-33683-5
  • Verlag: Springer
  • Erscheinungstermin: 28.10.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Networks and Systems
  • Produktform: Kartoniert
  • Seiten: 296
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.