A Comprehensive Study of Digital Image Processing for Finding Image Quality

Authors

  • Dr Cyril Mathew O, Dr Balusamy R, Dr Nalini P, Dr Sivakumar C

Keywords:

Machine learning, neural network, accuracy, artificial intelligence, computations

Abstract

We live in the age of artificial intelligence, a branch of computer science that allows for the creation of intelligent machines that perform tasks similar to those performed by humans. A.I. is used in a variety of ways, including virtual personal assistants, robotics,
search engines, and machine learning. Computer learning is a branch of artificial intelligence that has evolved the traditional way of computation into a self-learning machine.

References

Bashar, Abul. "Survey on evolving deep learning neural network architectures." Journal of Artificial Intelligence 1.02 (2019): 73-82.

Qi, Xinbo, et al. "Applying neural-network-based machine learning to additive manufacturing: current applications, perspectives." Engineering 5.4 (2019): 721-729. challenges, and future

Schütt, Kristof T., et al. "Unifying machine learning and quantum chemistry with a deep neural network for molecular wavefunctions." Nature communications 10.1 (2019): 1-10.

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Published

2024-02-14

How to Cite

Dr Cyril Mathew O, Dr Balusamy R, Dr Nalini P, Dr Sivakumar C. (2024). A Comprehensive Study of Digital Image Processing for Finding Image Quality . Journal of Computational Analysis and Applications (JoCAAA), 32(2), 240–249. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2223

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Section

Articles

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