Research Symposium On Data Analytics Machine Learning And Artificial Intelligence Damlai 2024


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Research Symposium on Data Analytics, Machine Learning and Artificial Intelligence (DAMLAI-2024)


Research Symposium on Data Analytics, Machine Learning and Artificial Intelligence (DAMLAI-2024)

Author: Prof. (Dr.) Shailesh

language: en

Publisher: Allied Publishers

Release Date: 2024-03-29


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This proceedings of Symposium on DAMLAI–2024, jointly organized by GTU – Ahmedabad and ISI – Kolkata, includes extended abstracts of research problems under study, by the research scholars of GTU, along with the proposed solution and primary results. These problems encompass blood glucose estimation, state of human minds during the meditation, underwater wireless sensor networks, automatic analog circuit environment, image steganography, employability of the students, reward-based crowdfunding, flood hazard, prediction of lung cancer, cloud computing security and wireless networked control systems. The book also contains various use cases, new algorithms, novel solutions of real-time problems based on AI, ML and DA for supply chain management, quality management, manufacturing systems, healthcare, transportation developed by invited experts of Indian Statistical Institute, Kolkata and Indian Institute of Management, Ahmedabad. The book will be useful to the students of under graduate and post graduate who are willing to contribute in related cutting-edge technologies. It will also inspire them to explore opportunities in artificial intelligence and connected research domains.

Proceedings of Data Analytics and Management


Proceedings of Data Analytics and Management

Author: Abhishek Swaroop

language: en

Publisher: Springer Nature

Release Date: 2025-08-02


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This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2024), held at London Metropolitan University, London, UK, during June 2024. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into six volumes.