Improving the engine operation by implementing intelligent algorithms is crucial for meeting
stricter emissions regulations and enhancing engine performance. Therefore, in this study …

This study proposes a simple correlation for approximating hydrogen solubility in
biomaterials as a function of pressure and temperature. The pre-exponential term of the …

Separating carbon dioxide (CO2) from gaseous streams released into the atmosphere is
becoming critical due to its greenhouse effect. Membrane technology is one of the promising …

This study compares the performance of artificial neural networks (ANN) trained by grey wolf
optimization (GWO), biogeography-based optimization (BBO), and Levenberg–Marquardt …

This chapter equitably compares five different artificial intelligence (AI) models and a linear
model to tackle two real-world engineering data-driven modelling problems with small …

Deep learning technique has been efficiently used for assisting visually impaired people in
different tasks and enhancing total accessibility. Designing a vision-based anomaly …

Separating carbon dioxide (CO₂) from gaseous streams released into the atmosphere is
becoming critical due to its greenhouse effect. Membrane technology is one of the promising …

A novel mixed-matrix membrane (MMM) comprising semi-fluorinated aromatic polyamide
(PA) and Submicron SAPO-34 zeolites filler was synthesized and evaluated for gas …