Hassan Alqahtani

Feature extraction and neural network-based fatigue damage detection and classification

A. Ray, Hassan Alqahtani, 2022, Neural Computing and Applications.

Development of a New Inhibitive Fluid to Mitigate Shale Drilling Problems

Hassan Alqahtani, Mohammad AlArfaj, Turki Alsubaie, 2023, Day 3 Tue, February 21, 2023.

Neural Network-Based Automated Assessment of Fatigue Damage in Mechanical Structures

Asok Ray, Hassan Alqahtani, A. Ray, 2020, Machines.

Appealing perspectives of the structural, electronic, elastic and optical properties of LiRCl3 (R = Be and Mg) halide perovskites: a DFT study

V. Tirth, M. Sohail, R. Khan, 2023, RSC advances.

Fatigue damage detection and risk assessment via neural network modeling of ultrasonic signals

A. Ray, Hassan Alqahtani, 2022, Fatigue & Fracture of Engineering Materials & Structures.

Classification of fatigue crack damage in polycrystalline alloy structures using convolutional neural networks

Asok Ray, Hassan Alqahtani, Skanda Bharadwaj, 2021, Engineering Failure Analysis.