Analyzing the Potential of Deep Learning for Enhancing Data Science Practices-Reference-Cited by-同舟云学术

Analyzing the Potential of Deep Learning for Enhancing Data Science Practices

Published:2023-12-29 Issue: Volume:5 Page:1-7
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Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

X Mercilin Raajini¹,Deshmukh Gopal B.²,Prabha Savita³,Singh Jagtej⁴,Agarwal Ankita⁵,E Manu S⁶

Affiliation:

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

2. Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,INDIA

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

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

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

6. JAIN (Deemed-to-be University),Faculty of Engineering and Technology,Department of Civil Engineering,Ramnagar,Karnataka,India,562112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442264.pdf?arnumber=10442264

Reference17 articles.

1. Machine learning for spatial analyses in urban areas: a scoping review

2. Application of Neural Network in the Prediction Models of Machine Learning Based Design

3. A study on the adoption of Wireless Communication in Big Data Analytics Using Neural Networks and Deep Learning

4. Recent advances and applications of deep learning methods in materials science

5. Deep learning for drug repurposing: Methods, databases, and applications