King Fahd University of Petroleum and Minerals

The interplay of social capital, digital transformation and sustainability for designing international marketing strategies: a systematic literature review

Purpose This study systematically reviews the current literature on the role of social capital in adopting digital technologies and achieving sustainability. The current investigation identifies key insights across social capital, digital transformation and sustainability paradig...

Scalable Semi-Automatic Screen-Printing of Redox-Enhanced PANI–Carbon Inks for Flexible Micro-Supercapacitors

Abstract With the development of wearable electronics, Internet of Things devices, and integrated sensor systems, flexible and miniaturized energy-storage technologies are increasingly sought. In the present work, we present a scalable approach to manufacture flexible micro-super...

Face presentation attack detection via content-adaptive spatial operators

Face presentation attack detection (FacePAD) is critical for securing facial authentication against print, replay, and mask-based spoofing. This paper proposes CASO-PAD, an RGB-only, single-frame model that enhances MobileNetV3 with content-adaptive spatial operators (involution)...

Newton method for set optimization problems with set-valued mapping of finitely many vector-valued functions

In this paper, we propose a Newton method for unconstrained set optimization problems to find their weakly minimal solutions with respect to lower set-less ordering. The objective function of the problem under consideration is given by finitely many strongly convex twice continuo...

Multi-SpeckleForce: An Experimental Multimode Fiber Specklegram Dataset for Multi-Position Force Sensing

This experimental dataset presents optical fiber specklegram images obtained from a step-index multi-mode fiber (MMF) due to multi-position force perturbations. The force recognition specklegrams can help in the development of data-driven models for simultaneous force estimation...

Exploring interfacial charge dynamics in (GPA) 2 (MA) 4 Pb 5 I16-based perovskite solar cells: Device optimization and impedance spectroscopy analysis

The organic spacer deployment in low-dimensional Ruddlesden–Popper (LDRP) perovskite (PVT) solar cells (PSCs) is exceptionally pioneering, attributed to fortified device stability and scalability. However, the recognition of optimal spacer molecules persists as an intangible chal...

Teaching heat exchanger design using COMSOL Multiphysics in a computer-based lab

Abstract The operation of a heat exchanger is a multiphysics problem, involving the simultaneous flow of two fluids and heat transfer between them. Velocity, pressure and temperature gradients within each fluid vary with location, operating conditions, flow arrangement and heat e...

Integrating Grid-Based Random Forest Predictions with Slope Units for Landslide Susceptibility Mapping

Landslide susceptibility mapping identifies terrain prone to slope failure under comparable environmental and triggering conditions. Grid-based machine-learning outputs can be spatially fragmented and difficult to translate into slope-scale mitigation. We developed a two-stage gr...

Analytical modeling and FEM simulation of slotted piezoelectric arrays for vibration energy harvesting

Abstract This work investigates a cantilever-based piezoelectric energy harvester incorporating designs with different slot shapes. The finite element method and analytical modeling are employed to study and compare several slot geometries, including rectangular, triangular, symm...

Thermal, Exergetic, Economic and Environmental Analysis From Tubular Solar Still Using Walnut Shell as Thermal Energy Storage

ABSTRACT Across the arid and semi‐arid regions, the scarcity of fresh water is a critical problem. The demand for fresh water can be solved using conventional desalination plants; however, their high energy demand and initial capital cost remain their constraint. A solar still is...

Texture attention-guided adaptive LSB steganography with U-Net model and optional GA tuning integrated with ablation study

Image steganography involves hiding a secret image within a digital cover image, which remains invisible to ordinary viewers. The majority of current steganographic methods face an essential trade-off because higher Payload Capacity (PC) results in decreased visual undetectabilit...

Iteration of Complexity and Asymptotic Analysis of Gradient-Type Methods with Non-monotone Line Search on Riemannian Manifolds

Abstract This paper investigates gradient-type methods for solving optimization problems on Riemannian manifolds. In this approach, we utilize a search direction based on the gradient direction and employ a general non-monotone line search scheme to determine the stepsize at each...

Empowering Wind Energy Output Optimization: Comparative Assessment of Hybrid Artificial Intelligence Models Towards Wind Speed Forecasting Accuracy

Wind power forecasting is essential for the reliable and efficient operation of wind farms based on power grids, which is significantly important for stakeholders like wind farm owners, power pools, and power traders. Wind power prediction is also crucial for optimal power dispat...

Design and Optimization of Smart-Grid-Connected Microgrids for EV Charging Stations Integrating Net Energy Metering and Demand Response

The widespread adoption of EVs is expected to intensify peak demand, stress distribution networks, and increase carbon emissions if traditional grid-based charging models continue. Therefore, this study proposes a smart-grid-connected microgrid (MG) architecture for EV charging s...

Assessing renewable energy penetration in the libyan power sector

Growing pressure on policymakers to protect the environmental from harmful gases released as a result of using fossil-fuel-based electricity generation lead to transition toward renewable energy systems. This study investigates the market conditions required to enable such a tran...

Meta-domain adaptive framework for efficient diagnostic assessment of lung infection using CT radiographs

Abstract Computed Tomography (CT) scans are widely used to diagnose lung infections; however, manual interpretation is labor-intensive. Artificial intelligence has accelerated the development of computer-aided diagnostic (CAD) systems, allowing faster and more accurate diagnosis....

Multiscale physicochemical evolution of mined coal links structure transport and reaction kinetics during thermochemical conversion

Global reliance on coal for energy generation and chemical production necessitates physics-based frameworks that move beyond empirical bulk characterization toward predictive and sustainable utilization strategies. Coal is a heterogeneous, reactive porous medium whose structure,...

Sustainable mineral processing risk analysis based initial settling rates prediction using enhanced machine learning models

Abstract The primary contamination concern of mineral processing tailings (MPT) is the leaching of hazardous substances into the environment. The literature indicates that MPT requires effective flocculation and polymer-assisted dewatering to ensure its disposal does not cause en...

Experimental and data-driven modeling based analysis of upstream wall-proximity effects on the performance of propellers for multirotor UAVs

The present study investigates the influence of upstream wall proximity on thrust and efficiency in multirotor UAV systems through a combination of experimental measurements and data-driven artificial neural network (ANN) based modeling approaches. Experiments are conducted using...

Beyond confirmatory approaches: integrating quasi-experimental design, clustering and machine learning for metaverse adoption profiling

Purpose This study aims to propose a hybrid methodological framework that integrates quasi-experimental design, unsupervised clustering and supervised machine learning algorithms to identify distinct adoption profiles in metaverse contexts, advancing beyond traditional confirmato...