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.

Bibliografske podrobnosti
Main Authors:	Ruhi, Zurana Mehrin, Sheetal, Farahatul Aziz, Prithu, Farisha Hossain
Drugi avtorji:	Arif, Hossain
Format:	Thesis
Jezik:	en_US
Izdano:	Brac University 2021
Teme:	CNN Residual Network Machine Learning XGboost Road Inspection Potholes Cracks
Online dostop:	http://hdl.handle.net/10361/14359

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