NED University of Engineering and Technology

Eikonal Regularisation in Physics-Informed Neural Networks for Three-Dimensional Level-Set Advection: Transferability of Two-Dimensional Design Principles

Physics-informed neural networks applied to the level-set formulation of interface advection commonly augment the residual and initial-condition losses with an eikonal regulariser, penalising the deviation of ‖∇φ‖ from unity. A previous two-dimensional study identified this weigh...

Eikonal Regularisation in Physics-Informed Neural Networks for Three-Dimensional Level-Set Advection: Transferability of Two-Dimensional Design Principles

Physics-informed neural networks applied to the level-set formulation of interface advection commonly augment the residual and initial-condition losses with an eikonal regulariser, penalising the deviation of ‖∇φ‖ from unity. A previous two-dimensional study identified this weigh...

A Fourier Neural Operator for Coupled Hygrothermal Ranking of Low-Cost Wall Materials under Measured Climate Forcing

Selecting low-cost indigenous wall materials that limit heat penetration is critical for indoor thermal comfort in hot-dry rural regions, where summer temperatures routinely exceed 45 °C. The thermal performance of the porous earthen materials used in such construction is insepar...

A Fourier Neural Operator for Coupled Hygrothermal Ranking of Low-Cost Wall Materials under Measured Climate Forcing

Selecting low-cost indigenous wall materials that limit heat penetration is critical for indoor thermal comfort in hot-dry rural regions, where summer temperatures routinely exceed 45 °C. The thermal performance of the porous earthen materials used in such construction is insepar...

Processing and property relationships in material extrusion additive manufacturing of PLA using a hybrid predictive model for tensile strength optimization

Material-extrusion additive manufacturing produces polymer components with region-dependent mechanical behaviour arising from raster orientation, shell geometry, and layer-wise deposition. This study develops a region-based hybrid model for predicting the tensile strength of PLA...

Effect of corrosion-induced cracking on bond performance of thermo-mechanically treated rebars in concrete

Corrosion of steel reinforcement is a leading cause of deterioration in reinforced concrete (RC) structures, reducing their structural capacity and service life. The bond performance of thermo-mechanically treated rebars in concrete was investigated using pull-out specimens subje...

Optimizing Voice-Based Feature Engineering and Machine Learning Pipelines for Early Parkinson’s Disease Detection

Most voice-based Parkinson’s disease studies evaluated a narrow set of models on fixed feature spaces, which limited generalizability and obscured feature–model synergies. Many also neglected fold-wise fitting and runtime measurement, increasing the risk of data leakage and hinde...

From net metering to net billing: Insights from Pakistan's 2026 prosumer regulatory reform

Pakistan’s National Electric Power Regulatory Authority (NEPRA) introduced the Prosumer Regulations (SRO 251(I)/2026), marking a fundamental shift from net metering to net billing for distributed solar generation. The policy replaces retail-rate compensation with payments linked...