A color vision approach considering weather conditions based on auto encoder 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 and Engineering, 2021.
Hlavní autoři: | Raj, Mohammad Mainuddin, Tasdid, Samaul Haque, Nidra, Maliha Ahmed, Noor, Jobaer, Ria, Sanjana Amin |
---|---|
Další autoři: | Alam, Md. Ashraful |
Médium: | Diplomová práce |
Jazyk: | English |
Vydáno: |
Brac University
2021
|
Témata: | |
On-line přístup: | http://hdl.handle.net/10361/15456 |
Podobné jednotky
-
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
Autor: Gomes, Paul Richie, a další
Vydáno: (2021) -
A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
Autor: Faisal, Asm, a další
Vydáno: (2024) -
Automated fabric color prediction
Autor: Muhtashima, Fawzia, a další
Vydáno: (2024) -
Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction
Autor: Khan, Rubayat Ahmed
Vydáno: (2022) -
Comparative data analysis of a PV module system considering weather parameters
Autor: Ahmed, Nafiz, a další
Vydáno: (2021)