Big Data and Artificial Intelligence - 13th International Conference, BDA 2025, Bangalore, India, July 17-20, 2025, Proceedings

This book constitutes the proceedings of the 13th International Conference on Big Data and Artificial Intelligence, BDA 2025, held in Bangalore, India, during July 17 20, 2025.
The 15 full papers and 13 short papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Language Understanding and Interactive AI; Learning Paradigms and Optimisations; ML Frameworks and System-Level Intelligence; Deep Learning Architectures and Model Design; Deep Learning Architecture and Adaptations; Domain-Specific AI Models; and Fine-Tuning and Generative Modeling Techniques.

Summary

This book constitutes the proceedings of the 13th International Conference on Big Data and Artificial Intelligence, BDA 2025, held in Bangalore, India, during July 17–20, 2025.
The 15 full papers and 13 short papers included in this book were carefully reviewed and selected from 104 submissions. They were organized in topical sections as follows: Language Understanding and Interactive AI; Learning Paradigms and Optimisations; ML Frameworks and System-Level Intelligence; Deep Learning Architectures and Model Design; Deep Learning Architecture and Adaptations; Domain-Specific AI Models; and Fine-Tuning and Generative Modeling Techniques.

Product details

• Assisted by: Vinu Ellampallil Venugopal (Editor), Rajeev Gupta (Editor), Uttam Kumar (Editor), Deepak P (Editor), Jun Shen (Editor), Jun Shen et al (Editor), Srinath Srinivasa (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 28.01.2026
• EAN: 9783032151339
• ISBN: 978-3-0-3215133-9
• Illustrations: Approx. 450 p.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Data Science, Big Data, machine learning, Lehrmittel, Lerntechnologien, E-Learning, Maschinelles Lernen, Wissensbasierte Systeme, Expertensysteme, Data Analytics, Distributed Computing, Data model, Artificial Intelligence (AI), Data Mining and Knowledge Discovery, Computers and Education, Special Purpose and Application-Based Systems, Computer Application in Social and Behavioral Sciences, AI applications, data access, information privacy, Machine Learning (ML), spatio-temporal, Data Fusion, time-series, Storage Models, Large Language Models and vision transformers, Mining Algorithms, Graph and Social Networks, Scalability and Performance, Computing Paradigms, Quantum ML