Impact of Hybrid [CPU-GPU] Architecture on Machine Learning-based Image-to-Image Translation Using HiDT-Reference-Cited by-同舟云学术

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Impact of Hybrid [CPU-GPU] Architecture on Machine Learning-based Image-to-Image Translation Using HiDT

Published:2024-04-18 Issue: Volume:3 Page:1-4
ISSN:
Container-title:2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
language:
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Author:

V Kantharaju¹,N Chandrashekhar B²,M Niranjanamurthy¹,Svn Murthy³

Affiliation:

1. BMS Institute of Technology and Management,Department of AI & ML,Bengaluru,India

2. Amity University,Amity School of Engineering and Technology,Department of CSE,Bangalore,India

3. S J C Institute of Technology,Department of CSE,Chikkaballapur,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616388/10616396/10616767.pdf?arnumber=10616767

Reference20 articles.

1. (2020) A multi-layered data encryption and decryption scheme based on genetic algorithm and residual numbers;EY;Proc. Of the 27th ACM ICS,2013

2. Closed loop predictive control of adaptive optics systems with convolutional neural networks

3. Improved Machine Learning Approach for Wavefront Sensing

4. Research on GPR image recognition based on deep learning

5. The role of imagine classes in freshet inception distance;Kynkäänniemi;arXiv:2203.06026,2022

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