Class imbalanced problems (CIP) are one of the potential challenges in
d...
Deep learning becomes an elevated context regarding disposing of many ma...
Over the years, the Invariant Scattering Transform (IST) technique has b...
Class imbalance in a dataset is one of the major challenges that can
sig...
While the world is still attempting to recover from the damage caused by...
This paper explains the initial Monkeypox Open image data collection
pro...
Manually monitoring water quality is very exhausting and requires severa...
Over the years, the number of exoskeleton devices utilized for upper-lim...
Industry 4.0 in health care has evolved drastically over the past centur...
Machine Learning (ML) has garnered considerable attention from researche...
Globally, there is a substantial unmet need to diagnose various diseases...
Driver drowsiness detection using videos/images is one of the most essen...
Heart disease is one of the significant challenges in today's world and ...
The outbreak of COVID-19 disease caused more than 100,000 deaths so far ...