King Fahd University of Petroleum and Minerals

Nature-based solutions in built environment education for developing sustainability competencies through bibliometric and systematic analysis

Abstract Nature-based Solutions (NbS) are increasingly recognized for their potential to address complex urban sustainability challenges; however, their integration into higher education curricula within built environment disciplines remains fragmented. This study examines how Nb...

Robust fractional-order control with quantitative feedback theory–constrained learning for uncertain pressure regulation systems

Robust pressure regulation in uncertain dynamical systems remains a challenging control problem, particularly in the presence of plant uncertainties, actuator nonlinearities, and external disturbances. Conventional proportional–integral–derivative–based controllers often exhibit...

Combustion phasing and emissions trade-offs of hydrogen-enriched methane in a spark-ignition engine: Fixed spark timing versus MBT-optimized ignition

This study experimentally investigated how hydrogen enrichment and spark timing jointly govern combustion, performance, and emissions in a spark-ignition engine fueled by different methane–hydrogen blends under fixed boundary conditions (11:1 compression ratio, 1500 rpm, 25% load...

MHD-Driven natural convection and heat transfer enhancement in hybrid nanofluid-filled sinusoidal porous enclosure

Natural convection in nanofluids is an important process of thermal transport enhancement in the absence of external energy sources, and it makes it extremely preferred in terms of advanced thermal management. In the current research a detailed numerical research is conducted to...

Multi-task Learning with Active Learning for Arabic Offensive Speech Detection

The rapid growth of social media has amplified the spread of offensive, violent, and vulgar speech, which poses serious societal and cybersecurity concerns. Detecting such content in Arabic text is particularly complex due to limited labeled data, dialectal variations, and the la...

Generative data augmentation, explainable machine learning, and uncertainty analysis for compressive strength prediction of sustainable UHPC

Recent interest in ultra-high-performance concrete (UHPC) has been on the use of construction and demolition waste (CDW) due to the growing need to use sustainable construction materials. Recycled concrete powder (RCP), a product of CDW, is a promising way to reduce cement use, l...

AI-driven systems for advancing smart building infrastructure: An integrated review for energy management, occupant comfort, and cybernetics

The development of smart building infrastructure requires integrated approaches that balance energy efficiency, occupant well-being, and resilient control mechanisms. This study reviews the advanced computational systems, supporting three interconnected fields: cybernetic coordin...

Ceramic tiles production using phosphate marl by-products and phosphogypsum

The large-scale accumulation of phosphogypsum (PG) and phosphate marl (YM) remains a major environmental challenge in phosphate-producing regions, while their potential as alternative ceramic raw materials is still insufficiently explored. This study investigates the combined uti...

Data-Driven Machine Learning for Predicting Seismic Response and Fundamental Period of Masonry-Infilled Reinforced Concrete Frames

Accurate prediction of seismic response and fundamental vibration period (T) is essential for the robust seismic design of reinforced concrete moment-resisting frames, although masonry infill walls are often neglected. This study developed a hybrid machine learning framework usin...

Adsorption-Driven Interfacial Engineering of Aluminum Anodes via Saponin for Enhanced Performance in Aluminum-Air Batteries

Abstract Alkaline aluminum-air batteries (AABs) are promising high-energy-density power sources, but their practical application is hindered by severe anodic self-corrosion and unstable Al/electrolyte interfaces in concentrated alkaline media. Herein, saponin, a low-cost and envi...

Beyond Symmetric Motifs: Asymmetric Small-Molecule Recognition Directs a New Poly(adenine) Assembly

Abstract DNA/small-molecule hybrid materials provide a powerful route to reprogram nucleic acid structures without covalent modification. However, to date only two small molecules have been shown to direct such assemblies, both relying on symmetric hydrogen-bonding faces. Here, w...

Unveiling how belief and boundary controls shape organizational citizenship behaviors and withdrawal cognitions in government: a test of mediating and moderating effects

Purpose This study aims to examine how belief and boundary controls influence managers’ withdrawal cognitions in the governmental sector. Drawing on person-organization fit theory, it investigates the mediating role of organizational citizenship behavior (OCB) and the moderating...

Using Brain Organoids to Explore Human Neurobiology

Abstract One of the major challenges in neuroscience is understanding how the human brain develops into a highly organized and functionally integrated organ, because many developmental processes cannot be investigated directly in humans and are not fully recapitulated in animal m...

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...

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...

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...

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...

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)...

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...