NED University of Engineering and Technology

Time evolution of corrosion-induced cracking in reinforced concrete under chloride exposure

The time-dependent initiation and propagation of corrosion-induced cracking in reinforced concrete (RC) was investigated, considering key material and geometric parameters. Accelerated corrosion tests were conducted on RC pull-out specimens with varying concrete compressive stren...

An AI-interpretable multidimensional intelligence-driven framework for student performance prediction using local LLM-based narrative reasoning

Predicting student performance has become a vital objective in educational data mining, however existing models remain limited by limited feature sets, opaque decision processes, and the absence of real-time, context-aware interpretative intelligence. This study presents a novel...

A Multinational Study of Orientation-Aware Deep Learning for Automated Detection of Retained Roots and Periodontal Bone Loss

Introduction and aims Accurate radiographic assessment of retained roots (RR) and periodontally compromised teeth (PCT) are critical for dental diagnosis. This study aimed to develop and evaluate deep learning models for the automated detection and classification of these patholo...

Valorization of Industrial Mill Scales into Multiphase Iron Oxide Nanostructures for Alkaline Water Splitting and Photocatalytic Dye Degradation

Herein, value-added iron oxide nanostructures are successfully synthesized directly from industrial steel mill scale via a simple precursor-free planetary ball milling technique for sustainable hydrogen production and environmental remediation. Comprehensive XRD analysis confirms...

Development and validation of a digital application for predicting air permeability of weft knitted fabrics

Air permeability is a fundamental property of textile materials that influences their comfort, functional performance, and suitability for specific applications. It refers to the ability of air to pass through a textile structure under a defined pressure differential. In technica...

Evaluation of circular and low impact denim acid washing processes using handmade composite stones

Purpose This study aims to evaluate the performance and sustainability of handmade stones (HMS) as an alternative to conventional pumice stones in acid washing of denim fabrics. The research investigates the effects of treatment type on fabric structural properties, mechanical pe...

Advanced biorefinery integration in kraft pulp mills: BECCS pathways, commercial failure analysis, and the carbon price threshold for subsidy-free viability

Kraft pulp mills are increasingly viewed as strategic platforms for decarbonization because they combine biogenic carbon flows, chemical recovery infrastructure, and opportunities for heat and material integration within a circular bioeconomy. However, prior reviews have focused...

Unmasking the Impact of Teaching Workload on Learning Outcome Attainment in Outcome-Based Engineering Education: A Multi-Level Analysis of CLO and PLO Achievement

Outcome-Based Education (OBE) has been widely adopted in engineering education as a systematic framework for curriculum design, teaching, assessment, and Continuous Quality Improvement (CQI) through clearly defined learning outcomes. Effective implementation of OBE requires conti...

Jobsinc.ai: An Agentic AI Recruitment Platform Integrating Semantic Job Discovery, WhatsApp-Powered Hiring Workflows, and AI-Assisted Interview Evaluation

Recruitment remains a fragmented and inefficient process for both job seekers and hiring organisations. Candidates face platform siloing, keyword-based mismatch, and poorcommunication, while recruiters contend with disconnected tooling, manual CV processing, and inconsistent inte...

Jobsinc.ai: An Agentic AI Recruitment Platform Integrating Semantic Job Discovery, WhatsApp-Powered Hiring Workflows, and AI-Assisted Interview Evaluation

Recruitment remains a fragmented and inefficient process for both job seekers and hiring organisations. Candidates face platform siloing, keyword-based mismatch, and poorcommunication, while recruiters contend with disconnected tooling, manual CV processing, and inconsistent inte...

Performance-based post-fire assessment of an RC high-rise building: a case study

Past research has predominantly focused on fire analysis in developed countries; however, there is a dearth of similar studies in developing countries such as Pakistan, where fire incidents in building structures are increasing significantly. This study presents a performance-bas...

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...