Potential of Deep Learning for Image Processing-Reference-Cited by-同舟云学术

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Potential of Deep Learning for Image Processing

Published:2024-03-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Gill Rupali¹,Logeshwaran J.²,Aggarwal Priyanshi³,Srivastava Durgesh¹,Verma Aditya⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Rajpura,Punjab,India

2. Sri Eshwar College of Engineering,Department of ECE,Coimbatore,India,641202

3. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

4. Graphic Era Deemed to be University,Computer Science and Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10522096/10522101/10522154.pdf?arnumber=10522154

Reference25 articles.

1. Exploring the potential of time-series transformers for process modeling and control in chemical systems: An inevitable paradigm shift?

2. Challenges of Deep Learning in Medical Image Analysis—Improving Explainability and Trust

3. Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings

4. An Artificial Intelligence Based Sustainable Approaches—IoT Systems for Smart Cities

5. Energy‐efficient resource allocation model for device‐to‐device communication in 5G wireless personal area networks

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