DeepTread: Exploring Transfer Learning in Tyre Quality Classification

Author:

Degadwala Sheshang1,Upadhyay Rocky2,Upadhyay Shivam3,Soni Mukesh4,Parikh Dhara Jayendrakumar2,Vyas Dhairya5

Affiliation:

1. Sigma University,Department of Computer Engineering,Gujarat,India

2. Drs. Kiran & Pallavi Patel Global University,Dept. of IT,Vadodara

3. Drs. Kiran & Pallavi Patel Global University,Dept. of CSE,Vadodara

4. University Centre for R&D Chandigarh University,Department of CSE,Mohali,Punjab,India

5. The Maharaja Sayajirao University of Baroda,Vadodara,Gujarat,India

Publisher

IEEE

Reference15 articles.

1. Research on tire crack detection using image deep learning method

2. Revolutionizing Tire Quality Control: AI’s Impact on Research, Development, and Real-Life Applications

3. Tire Defect Detection Based on Improved DeepLabv3+

4. Conv-Tire: Tire Feasibility Assessment using Convolutional Neural Networks Conv-Tire: Asesmen Kelayakan Ban berbasis Convolutional Neural Network;Listyalina;Jurnal Informatika dan Teknologi Informasi,2022

5. Classification of Road Surfaces Based on CNN Architecture and Tire Acoustical Signals

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