Machine Intelligence and Data Science (Paperback)

Abhishek Das

ISBN 10: 303235515X / ISBN 13: 9783032355157

Published by Springer Nature Switzerland AG, Cham, 2026

About this Item

Paperback. This book constitutes the refereed proceedings of the First International Conference on Machine Intelligence and Data Science, MIDAS 2025 held in Paralakhemundi, India, during March 2122, 2025.The 34 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions. They are organized into the following topical sections: Intelligent Computational Models for Multimedia Understanding and Trusted Digital Systems; Learning-Driven Paradigms for Healthcare Analytics and Biomedical Intelligence; Data-Centric Intelligence for Enterprise Analytics, Financial Systems, and Sustainable Innovation; and Emerging Intelligent Systems for Secure Computing, Autonomous Technologies, and Smart Environments. This book constitutes the refereed proceedings of the First International Conference on Machine Intelligence and Data Science, MIDAS 2025 held in Paralakhemundi, India, during March 2122, 2025.The 34 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9783032355157

Bibliographic Details

• Title: Machine Intelligence and Data Science (Paperback)
• Publisher: Springer Nature Switzerland AG, Cham
• Publication Date: 2026
• Language: English
• ISBN 10: 303235515X
• ISBN 13: 9783032355157
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book constitutes the refereed proceedings of the First International Conference on Machine Intelligence and Data Science, MIDAS 2025 held in Paralakhemundi, India, during March 21–22, 2025.

The 34 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions. They are organized into the following topical sections: Intelligent Computational Models for Multimedia Understanding and Trusted Digital Systems; Learning-Driven Paradigms for Healthcare Analytics and Biomedical Intelligence; Data-Centric Intelligence for Enterprise Analytics, Financial Systems, and Sustainable Innovation; and Emerging Intelligent Systems for Secure Computing, Autonomous Technologies, and Smart Environments.