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Data Management, Analytics and Innovation : Proceedings of ICDMAI 2025, Volume 3 / edited by Saptarsi Goswami, Sajal Saha, Kanadpriya Basu, Romit S Beed.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Goswami, Saptarsi.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1368
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Engineering--Data processing.
- Engineering.
- Big data.
- Computational Intelligence.
- Data Engineering.
- Big Data.
- Local Subjects:
- Computational Intelligence.
- Data Engineering.
- Big Data.
- Physical Description:
- 1 online resource (532 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at 9th International Conference on Data Management, Analytics and Innovation (ICDMAI 2025), held during 17–19 January 2025 at St. Xavier’s College (Autonomous), Kolkata, India. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry. The book is divided into three volumes.
- Contents:
- Chapter 1: Comparative Analysis of Different Generative AI Models For Scholarly Articles on Blockchain Technology
- Chapter 2: A Hybrid Model for Retail Success : Integrating RFM, Recommendations, and Price Dynamics
- Chapter3 : Artificial Intelligence: A Catalyst for Change in the Indian Automobile Industry
- Chapter 4: A comparative review on GAN-based data augmentation techniques for plant-based pest detection
- Chapter 5: Ensemble Based Prediction Analytics Model for Photoluminescence Intensity Decay in Silicon Nanostructures
- Chapter 6: Application of Artificial Intelligence (AI) and Internet of Things (IoT) in Smart Agriculture – A Systematic Review
- Chapter 7: Image-Based Automated Attendance System Designing Leveraging Multi-task Convolutional Neural Network
- Chapter 8: Safe-Steer: A Real-time IoT-based System for Driver Profiling Using Deep Learning
- Chapter 9: Exploring AI Applications and Innovations in Supply Chain Management
- Chapter 10: Anti-Money Laundering via Graph Convolution Neural Network based Hybrids.-.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9665-34-5
- 9789819665341
- OCLC:
- 1547923428
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