COMSATS University Islamabad

Data and context matter: towards generalizing AI-based software vulnerability detection

AI-based solutions demonstrate remarkable results in identifying vulnerabilities in software, but research has consistently found that this performance does not generalize to unseen codebases. In this paper, we specifically investigate the impact of model architecture, parameter...

Interfacial Engineeringof Carbene-FunctionalizedZIF-90 Porous Liquid-like Dispersion-Based Mixed Matrix Membranesfor Enhanced Ethanol Recovery via Pervaporation

Abstract Mixed matrix membranes (MMMs) are promising for overcoming the permeability–selectivity limitations of polymeric membranes, yet their performance is often restricted by filler aggregation and interfacial defects at high loadings. Here, we introduce ZIF-90 in a porous liq...

Riverine flood risk mapping using GIS–AHP and climate-driven hydrodynamic simulations in an alpine basin of the Indus River system

The Swat River Basin (SRB), a mountainous sub-catchment of the Indus Basin, has faced frequent floods in the past 25 years. Limited structural and non-structural measures, such as flood risk mapping, early warning systems, and land use planning, continue to expose the SRB. This s...

Pharmacist-led educational intervention for rational prescribing and deprescribing of proton pump inhibitors in cancer patients: A quasi-experimental study from Pakistan

PurposeProton pump inhibitors (PPIs) are often overprescribed in cancer care, leading to unnecessary side effects and increasing healthcare costs. Pharmacists can optimize and improve the rational prescribing of PPIs particularly in low/middle income countries, where such data is...

Mantra of sustainability, navigating organizational ambidexterity: cultivating intellectual capital to drive competitive advantage and innovation capabilities

Purpose This paper aims to investigate the relationship between intellectual capital (IC), organizational ambidexterity (OA) and emergent strategies (ES) within the hospitality industry in Pakistan. Design/methodology/approach This study is based on the resource-based view theory...

Semiparametric hybrid air quality forecasting using prophet ensemble and feature selection

Due to air quality management and public health planning, accurately predicting PM2.5 concentrations is absolutely imperative. Having many lagged variables, interactions between pollutants and other temporal features means that high-dimensional environmental datasets (that may in...

Family Authority, Appearance‐Socialisation and Disordered Eating Among Young Adults in Pakistani Families

ABSTRACT Background The exact role of everyday family processes in collectivist societies has not been well explored, although disordered eating is commonly viewed through sociocultural variables. Purpose The aim of the research was a qualitative study of the expectations associa...

Implicit type impulsive differential equation analysis with coupled switched system

In certain situation many phenomena experiences instantaneous changes. In order to address as well as model such kind of phenomena the unification of switched system with impulsive effects, coupling structures and fractional differential equations is more suitable. Therefore, the...

In Silico Screening of Cannabis sativa Phytochemicals as Potential Ornithine Decarboxylase Inhibitors for Anti-Leishmanial Drug-Prioritized Compound Development

Leishmaniasis remains a major neglected tropical disease with limited therapeutic options, increasing drug resistance, and significant treatment-associated toxicity. Ornithine decarboxylase (ODC), which plays an essential role in polyamine synthesis and survival of parasites, is...

RL-Augmented Dual Robust Adaptive Propagated Interval Observer for Actuator and Residual-Framed Sensor Fault Detection and Isolation in Underactuated AUVs

Reliable fault detection and isolation (FDI) for actuators and sensors in underactuated autonomous underwater vehicles (AUVs) is challenging because nonlinear hydrodynamic coupling redistributes fault signatures, and persistent ocean currents can trigger false alarms. This paper...

ESG Uncertainty and Corporate Waste Management: Global Evidence

ABSTRACT Motivated by the growing concerns over environmental sustainability and the increasing relevance of environmental, social, and governance (ESG) metrics in corporate decision‐making, this study examines the impact of ESG‐related uncertainty on corporate waste management....

On Fractional Milne-Mercer Bounds for $s$-Convex Functions with Applications

Fractional integral inequalities play a fundamental role in modern analysisand have significant applications in the qualitative study of fractionaldifferential and integral equations. Motivated by the need for sharperestimates in fractional settings, this paper establishes severa...

Numerical Approximation of a Smoking Dynamics Model Using a Hybrid Deep Neural Network Architecture

Despite the fact that smoking is still a significant global public health concern, current mathematical models of smoking dynamics primarily depend on conventional numerical solvers. A particular five-compartment smoking dynamics model has not yet been solved using deep neural ne...

SELM-CTR: a stacking ensemble deep learning model with SHAP-based analysis for large-scale click-through rate prediction

Purpose Click-through rate (CTR) prediction is a core challenge in digital advertising, as forecasting whether a user will click on an advertisement directly determines ad placement decisions and revenue outcomes. Standard machine learning and deep learning approaches achieve rea...