Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kshitij Ijari"'
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6640 (2024)
In this study, we introduce an advanced system for sustainable pavement management that leverages cutting-edge machine learning and computer vision techniques to detect and classify pavement damage. By utilizing models such as EfficientNetB3, ResNet1
Externí odkaz:
https://doaj.org/article/253b93a1af0848728faa882675275543
Autor:
Manjunath Bhat, Sunil V. Gurlahosur, Anchal Jain, Anand S. Meti, Akshata Hiremath, Inzamam Sayyed, Kshitij Ijari, Shashidhara B. Vyakaranal
Publikováno v:
ICCCNT
Over the past years, there has been a rapid pace in the field of technology. It is fostering itself at an ever-rising rate and machine learning is a part of this entire revolution. Technology is moving closer and closer as machines are taught how to
Autor:
Shashidhara B. Vyakaranal, Uday Kulkarni, Sunil V. Gurlahosur, Kshitij Ijari, S. M. Meena, Inzamam Sayyed, Akshata Hiremath
Publikováno v:
2021 6th International Conference for Convergence in Technology (I2CT).
The greatest boon on mankind is the adaptive nature of the brain. Apparently this roots in the exceptional flexibility possessed by the brain while learning. This trait of human learning bids an inspiration to Artificial Intelligence researchers to i