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.

Bibliografiset tiedot
Päätekijät:	Ruhi, Zurana Mehrin, Sheetal, Farahatul Aziz, Prithu, Farisha Hossain
Muut tekijät:	Arif, Hossain
Aineistotyyppi:	Opinnäyte
Kieli:	en_US
Julkaistu:	Brac University 2021
Aiheet:	CNN Residual Network Machine Learning XGboost Road Inspection Potholes Cracks
Linkit:	http://hdl.handle.net/10361/14359

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