Discovering Innovative Applications for Real-Time Data Analysis with Machine Learning-Reference-Cited by-同舟云学术

Discovering Innovative Applications for Real-Time Data Analysis with Machine Learning

Published:2023-12-29 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Jadhav Prranjali¹,N Raja Praveen K²,Aggarwal Prateek³,Gautam Sandeep⁴,Naval Preeti⁵,Nirmala D.⁶

Affiliation:

1. Vishwakarma Institute of Information Technology,Department of Artificial Intelligence & Data Science,Pune,INDIA

2. JAIN (Deemed-to-be University),Computer Science and Engineering, Faculty of Engineering and Technology,Bangalore,Karnataka,India

3. Centre of Interdisciplinary Research in Business and Technology, Chitkara University Institute of Engineering and technology, Chitkara University,Punjab,India

4. Vivekananda Global University,Department of Computer Science & Engineering,Jaipur,India

5. Maharishi School of Engineering and Technology, Maharishi University of Information Technology,Uttar Pradesh,India

6. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electronics and Communication Engineering,Chennai,127

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442873.pdf?arnumber=10442873

Reference16 articles.

1. Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system

2. AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning

3. Exploring the effects of pandemics on transportation through correlations and deep learning techniques

4. Scientific discovery in the age of artificial intelligence

5. Future of Drug Discovery: The Synergy of Edge Computing, Internet of Medical Things, and Deep Learning