A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2021.

Библиографические подробности
Главные авторы:	Mahmud, Shakib Izaz, Shovon, Sartaz Islam, Hasnat, Md. Abrar, Na s, Md. Fahim
Другие авторы:	Alam, Md. Ashraful
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	Auto Encoded Techniques Reflection Co efficient Neural networks Deep learning KNN ANN Random forest Logistic regression Naive bayes Decision tree Digital Illuminance meter Cognitive learning theory (Deep learning) Neural networks (Computer science)
Online-ссылка:	http://hdl.handle.net/10361/17125

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