University of Engineering and Technology Lahore

Diagonally Loaded LMS Beamforming for Underwater Acoustic Arrays: Steady-State Limits and Robustness in Anisotropic, Impulsive, and Non-Stationary Noise

Adaptive array processing is a key enabler of interference-resilient underwater acoustic (UWA) links, yet the noise seen by UWA receivers is spatially anisotropic, impulsive, and non-stationary, conditions under which low-complexity stochastic-gradient beamformers are poorly char...

Numerical analysis of melting heat transfer in stratified Casson nanofluid flow over an inclined wedge for energy-efficient thermal systems

Purpose Given the diverse applications of nanoparticles, blood transport and stratified flow in medical and industrial domains, this study was conducted. Design/methodology/approach Nonlinear thermal stratification is used to capture realistic, high-gradient thermal environments...

Competing Beyond Borders: Identifying Strategic and Sustainability-Driven Success Factors for Apparel Firms in Global Markets

The international apparel market is becoming more complex and competitive, but the multidimensional, human-centred capabilities that underpin export success in institutionally constrained markets are not well understood. This paper discusses the strategies used by export-oriented...

Base Semantics—A Novel Approach for Minimizing Malware Detection Rules

ABSTRACT The rapid evolution of malware variants has increasingly undermined traditional signature‐based detection techniques, which are easily evaded through obfuscation and polymorphism that preserve malicious functionality. This challenge is particularly acute in Internet of T...

Statistically Validated EV Charging and Discharging Scheduling Optimization in V2G System: A Comparative Evaluation of Multiple Metaheuristic Algorithms

The rising uptake of electric vehicles (EVs) is a critical challenge for how power systems function, as it places a strain on the grid, especially during peak times, and as more EVs come into the system, uncoordinated charging demands will massively increase the stress on the gri...

Nuclear and Renewable Energy Transitions for Global Sustainability: Exploring the Interactions of Tourism Development and Economic Drivers

ABSTRACT In light of exacerbating climate change issues, recent environmental policy reforms have attempted to balance economic growth and environmental conservation to foster a sustainable development transition. To further debate the scope of decarbonization policies, this stud...

Maximizing power transfer with ZVS/ZDS in a push–pull Class E inverter for induction heating

This paper presents the design, experimental performance evaluation, and comprehensive analysis of a proposed Class E Zero-Voltage-Switching push–pull inverter, specifically optimized to maximize power transfer from the source to the load in an induction heating application. The...

Development and characterization of p-phenylenediamine/g-C 3 N 4 -based composite polysulfone (PSF) membranes for enhanced chromium (Cr(VI)) removal from wastewater

In this study, polysulfone (PSF)-based composite membranes were synthesised through phase inversion. These membranes were then dip-coated with non-functionalized and functionalized Graphitic Carbon Nitride (g-C 3 N 4 ) to enhance Chromium (Cr(VI)) removal from a Cr(VI)-containing...

Understanding the effect of various Chip breakers’ configurations and feed rates in high-speed drilling of Ti-6Al-4V alloy

Abstract High-speed machining (HSM) has emerged as a compelling paradigm in modern manufacturing industries owing to its potential to enhance productivity, improve surface integrity, and reduce overall machining time. However, the application of HSM remains limited primarily due...

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/...