The Enhanced Optimization on Deep Learning Technologies for Data Science Practices-Reference-Cited by-同舟云学术

The Enhanced Optimization on Deep Learning Technologies for Data Science Practices

Published:2023-12-29 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

Dhabliya Dharmesh¹,Reddy B²,Rajarajeswari S.³,K Ranganathaswamy M⁴,Nivesh ⁵,Rajarajeswari S.³,Pandey Megha⁶

Affiliation:

1. Vishwakarma Institute of Information Technology,Department of Information Technology,Pune,Maharashtra,India

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

3. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Science and Humanities,Chennai,127

4. JAIN (Deemed-to-be University),Faculty of Engineering and Technology,Department of Mechanical Engineering,Ramnagar,Karnataka,India

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442871.pdf?arnumber=10442871

Reference17 articles.

1. A review of the application of machine learning in water quality evaluation

2. A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning

3. Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

4. Novel Enhanced-Grey Wolf Optimization hybrid machine learning technique for biomedical data computation

5. Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review