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.

Bibliographische Detailangaben
Hauptverfasser: Mahmud, Shakib Izaz, Shovon, Sartaz Islam, Hasnat, Md. Abrar, Na s, Md. Fahim
Weitere Verfasser: Alam, Md. Ashraful
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2022
Schlagworte:
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 Zugang:http://hdl.handle.net/10361/17125

Online

http://hdl.handle.net/10361/17125

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