ENHANCED COS-HADAMARD TRANSFORM FOR COVID-19  PREDICTION USING REINFORCEMENT LEARNING TECHNIQUE

RASHIA SUBASHREE.R, Dr.NANCY JASMINE GOLDENA

ENHANCED COS-HADAMARD TRANSFORM FOR COVID-19 PREDICTION USING REINFORCEMENT LEARNING TECHNIQUE

Authors

RASHIA SUBASHREE.R, Dr.NANCY JASMINE GOLDENA

Keywords:

Fourier Transform, Wavelet Transform, Cosine Transform, Hadamard Transform, Enhanced Cos-Hadamard Transform

Abstract

Recent technological developments have the path for Machine Learning and DeepLearning-based techniques to be used in almost every domain of life. The precision ofMachine Learning and Deep learning

References

Lu H, Stratton CW, Tang Y. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J Med Virol. 2020; 92:401–2.

Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus infected pneumonia. N Engl J Med. 2020; 382:2001316.

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Published

2024-11-12

How to Cite

RASHIA SUBASHREE.R, Dr.NANCY JASMINE GOLDENA. (2024). ENHANCED COS-HADAMARD TRANSFORM FOR COVID-19 PREDICTION USING REINFORCEMENT LEARNING TECHNIQUE . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4410–4425. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2845