University of Engineering and Technology Lahore

Machine learning and deep learning for prediction of post-acidizing petrophysical properties in sandstone reservoirs: a physics-augmented data-driven framework

Abstract Predicting post-acidizing porosity and permeability in sandstone reservoirs remains a fundamental challenge due to complex, nonlinear acid–rock interactions. This study presents a physics-augmented machine learning and deep learning (ML/DL) framework that integrates 24 l...

Catalytic ZnO-Modified Ceramic Membrane for Persulfate Activation: An Integrated System for Efficient Tetracycline Hydrochloride Removal

Tetracycline hydrochloride (TC HCl) is a persistent antibiotic contaminant that is insufficiently removed by conventional wastewater treatment, requiring efficient polishing technologies. In this study, a ZnO-modified ceramic ultrafiltration membrane (ZnO@CM) was developed and co...

A Comprehensive Review of Sequence and Generative Models in Motor Imagery (MI) Classification for Brain–Computer Interfaces (BCIs)

Motor imagery (MI) classification serves as the backbone to brain–computer interfaces (BCIs) by strengthening the communication bridge between the human brain and external peripheral devices. The past two decades have witnessed unprecedented success in MI-BCIs, with applications...

In situ reactive compatibilization of PS/PMMA blends using SMA as compatibilizer: Effect of composition on structural, thermal and mechanical properties

This study elucidates in situ reactive compatibilization of polystyrene (PS) and polymethyl methacrylate (PMMA) blends using styrene-maleic anhydride (SMA) as a compatibilizer and benzoyl peroxide (BPO) as a free-radical initiator. Various PS/PMMA blends with weight ratios of 90/...