47 citations · 51 across the 3 of their papers we have counts for
3 papers
Advancing resistivity-chargeability modeling for complex subsurface characterization using machine learning and deep learning
Adedibu Sunny Akingboye, Andy Anderson Bery, Hui Tang +4
Subsurface lithological heterogeneity presents challenges for traditional geophysical methods, particularly in resolving nonlinear electrical resistivity and induced polarization (…
A Survey on State-of-the-art Deep Learning Applications and Challenges
Mohd Halim Mohd Noor, Ayokunle Olalekan Ige
Deep learning, a branch of artificial intelligence, is a data-driven method that uses multiple layers of interconnected units or neurons to learn intricate patterns and representat…
WSense: A Robust Feature Learning Module for Lightweight Human Activity Recognition
Ayokunle Olalekan Ige, Mohd Halim Mohd Noor
In recent times, various modules such as squeeze-and-excitation, and others have been proposed to improve the quality of features learned from wearable sensor signals. However, the…