A comparative study of deep learning methods for automating road condition characterization

A comparative study of deep learning methods for automating road condition characterization

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detaylı Bibliyografya
Asıl Yazarlar: Ruhi, Zurana Mehrin, Sheetal, Farahatul Aziz, Prithu, Farisha Hossain
Diğer Yazarlar: Arif, Hossain
Materyal Türü: Tez
Dil:en_US
Baskı/Yayın Bilgisi: Brac University 2021
Konular:
CNN
Residual Network
Machine Learning
XGboost
Road Inspection
Potholes
Cracks
Online Erişim:http://hdl.handle.net/10361/14359

Internet

http://hdl.handle.net/10361/14359

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