A Review of Deep Learning Enhancement in the Choice of Functionalities for Data Mining and its Management-Reference-Cited by-同舟云学术

A Review of Deep Learning Enhancement in the Choice of Functionalities for Data Mining and its Management

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Alanya-Beltran Joel¹^ORCID,Viswanathasarma Ch²^ORCID,Jagtap Shailesh Chandrakant³,Singh Rajesh⁴,Valderrama-Zapata Carlos⁵^ORCID,Singh Suryabhan Pratap⁶^ORCID

Affiliation:

1. Universidad Tecnológica del Perú,Electronic Department

2. Vignan's Institute of Information Technology

3. Softstack IT Solutions Private Limited,Department of Research and Development,Pune,India

4. Uttaranchal Institute of Technology, Uttaranchal University,India

5. Universidad San Ignacio de Loyola

6. Institute of Engineering and Technology, Deen Dayal Upadhyaya Gorakhpur University,Department of Information Technology,Gorakhpur,U.P.,273009

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823752.pdf?arnumber=9823752

Reference16 articles.

1. Experimental investigations and optimization of surface roughness in turning of en 36 alloy steel using response surface methodology and genetic algorithm

2. 3d Printing: Basic principles and applications

3. A Survey of Multi-Task Deep Reinforcement Learning

4. A Holistic Quality Assurance Approach for Machine Learning Applications in Cyber-Physical Production Systems

5. How to Use Machine Learning to Improve the Discrimination between Signal and Background at Particle Colliders;xabier;Applied Sciences,2021

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