Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Main Authors: | Ahmed, Yasin, Alam, Tawsiful, Shakil, Md. Hasibur Rahman, Hossain, Md. Tanjidul |
---|---|
Andre forfattere: | Alam, Dr. Md. Ashraful |
Format: | Thesis |
Sprog: | English |
Udgivet: |
BRAC University
2018
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/11025 |
Lignende værker
-
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
af: Mizan, Mubasshira, et al.
Udgivet: (2024) -
A modern technique to detect potholes by Computer Vision and Deep Learning
af: Saif, Muntasir Mahmud, et al.
Udgivet: (2023) -
Deep learning-based real-time pothole detection for avoiding road accident
af: Basher, Rafsan, et al.
Udgivet: (2022) -
Detecting Deepfake images using deep convolutional neural network
af: Dhar, Arpita, et al.
Udgivet: (2022) -
Structurally and semantically coherent deep image inpainting
af: Sami, Mirza Tanzim, et al.
Udgivet: (2019)