Prince Mohammad bin Fahd University

Numerical analysis of the breast thermal state under an influence of an intratissue malignant neoplasm

Purpose The purpose of this study is to develop the mathematical model of the thermal nature of the breast having an intratissue malignant neoplasm. Design/methodology/approach The mathematical model is based on a modified Pennes bioheat equation and defines a five-layer structur...

A Survey on U-Net with Variants and Their Applications in Two-Dimensional Medical Image Segmentations

Medical image segmentation plays a critical role in computer-assisted diagnosis, treatment planning, surgical navigation, and quantitative medical image analysis. Among deep learning-based segmentation architectures, U-Net has become one of the most influential frameworks because...

Mathematical modeling of chikungunya transmission dynamics and control using disease-driven machine learning

Abstract The Chikungunya virus (CHIKV) is a significant vector-borne threat; however, few models successfully integrate rigorous theoretical guarantees with efficient, reliable predictive tools. This study aims to address this gap by introducing a nonlinear seven-compartment huma...

Dynamic interdependence between green resources, AI and semiconductor market

Abstract This study investigates return spillovers among green resource, artificial intelligence (AI), and semiconductor markets from 1st June 2018 to 30th March 2026 using the R 2 -decomposed connectedness framework and connectedness-based portfolio strategies. We decompose over...

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...

Environmentally informed prediction of ultimate bearing capacity using Kernel-SVM and PLAXIS 3D FEM for sustainable geotechnical design

Accurately predicting Ultimate Bearing Capacity (UBC) is crucial for the safe and efficient design of foundations in geotechnical engineering. Yet, traditional methods remain time-consuming, costly, and environmentally disruptive. This study applies Support Vector Machine (SVM) m...

Circular Consumption and Sustainability Transitions: Why Favorable Product Experiences Do Not Always Generate Advocacy

ABSTRACT The transition toward Sustainable Development increasingly depends on the ability of circular economy systems to prolong product lifecycles and reduce premature waste generation. However, the success of such systems relies not only on whether consumers adopt circular pro...

Machine Learning-Based Prediction of Machinability Responses in Meso-Scale Ultrasonic Vibration-Assisted End Milling (UVAEM) of Inconel 718 Superalloy: A Comparative Study of GPR, SVR, Random Forest, and Ridge Regression

Meso-scale ultrasonic vibration-assisted end milling (UVAEM) is an advanced manufacturing technique. UVAEM of Inconel 718 superalloy presents significant modeling challenges due to complex thermo-mechanical interactions and meso-scale size effects. This study introduces a machine...

AI ‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare

ABSTRACT This paper explores an AI‐assisted resource scheduling and cooperative learning model in a space–air–ground combined network (SAGIN) to possess ultra‐reliable low‐latency Internet of Medical Things (IoMT) applications. The generated healthcare data by the IoMT devices ar...

Semantic‐Aware UAV‐IRS Control for Cooperative V2X Perception Using Label‐Derived Context

ABSTRACT Cooperative V2X perception requires timely, reliable delivery of perception‐critical packets, especially when occlusion, dense traffic, and vulnerable road users increase scene risk. Existing UAV‐assisted intelligent reflecting surface (IRS) studies mainly optimize chann...

Techno-Economic Assessment of PEM Electrolyzer Coupled with High-Concentration Photovoltaics in Saudi Arabia

Green hydrogen (H2) production is a pivotal element of Saudi Arabia’s Vision 2030. This study presents a comprehensive feasibility assessment of a high-efficiency H2 production system integrating a photovoltaic (PV) array and a high-concentration photovoltaic (HCPV) system with a...