- Online and Blended Learning
- Technology Adoption and User Behaviour
- Online Learning and Analytics
- Organizational and Employee Performance
- EEG and Brain-Computer Interfaces
- Robotic Mechanisms and Dynamics
- Pharmaceutical Practices and Patient Outcomes
- Knowledge Management and Sharing
- Gaze Tracking and Assistive Technology
- Anomaly Detection Techniques and Applications
- Patient Safety and Medication Errors
- Neural Networks and Reservoir Computing
- Cutaneous Melanoma Detection and Management
- Educational Technology and E-Learning
- Voice and Speech Disorders
- Consumer Retail Behavior Studies
- Forecasting Techniques and Applications
- Pharmacy and Medical Practices
- Cognitive Radio Networks and Spectrum Sensing
- ICT in Developing Communities
- Muscle activation and electromyography studies
- Slime Mold and Myxomycetes Research
- Innovations in Medical Education
- Optimization and Packing Problems
- Nonmelanoma Skin Cancer Studies
King Abdullah International Medical Research Center
2025
King Abdulaziz Medical City
2025
University of Ha'il
2021-2024
King Saud University
2024
Laboratoire d'Informatique de Paris-Nord
2023
Mehran University of Engineering and Technology
2023
University of Birmingham
2022
Manipal University Jaipur
2022
University of New England
2014-2019
IP Australia
2015
The spread of COVID-19 poses a threat to humanity, as this pandemic has forced many global activities close, including educational activities. To reduce the virus, education institutions have been switch e-learning using available platforms, despite challenges facing sudden transformation. In order further explore potentials learning activities, focus study is on from students' and instructor's perspectives implementing systems in public university during pandemic. targets society that...
Abstract With new telecommunications engineering applications, the cognitive radio (CR) network‐based internet of things (IoT) resolves bandwidth problem and spectrum problem. However, CR‐IoT routing method sometimes presents issues in terms road finding, resource diversity mobility. This study an upgradable cross‐layer protocol based on to improve efficiency optimize data transmission a reconfigurable network. In this context, system is developing distributed controller which designed with...
In this article, we provide a metaheuristic-based solution for stability analysis of nonlinear systems. We identify the optimal level set in state space these systems by combining two optimization phases. This is definite negative region time derivative polynomial Lyapunov function (LF). Then, consider global problem stated The first phase an external to search positive LF, whose under linear matrix inequalities. candidate LF coefficients are adjusted using Jaya metaheuristic algorithm....
Proprotein convertase subtilisin/kexin type 9 inhibitors effectively reduce LDL cholesterol and adverse cardiovascular events with a safety profile comparable to placebo. Limited real-world data exists on their effectiveness in different patient groups. This study evaluated evolocumab's efficacy hypercholesteremia patients without diabetes. In large tertiary hospital Saudi Arabia, aged 18 above who initiated evolocumab therapy were screened for eligibility between January 2017 July 2023. All...
Increasing energy needs, pollution of nature, and eventual depletion resources have prompted humanity to obtain new technologies produce using clean sources renewables. In this paper, we design an advanced method improve the performance a sliding mode controller combined with control theory for photovoltaic system. Specifically, decouple controlled output system from any perturbation source assess effectiveness results in terms solution quality, closed-loop stability, dynamical convergence...
The computation of the time-varying matrix pseudoinverse has become crucial in recent years for solving problems engineering and science domains. This paper investigates issue calculating based on full-rank decomposition (FRD) using zeroing neural network (ZNN) method, which is currently considered to be a cutting edge method pseudoinverse. As consequence, first time literature, new ZNN model called ZNNFRDP introduced pseudoinversion it FRD. Five numerical experiments investigate confirm...
One of the most often used approaches for approximating various matrix equation problems is hyperpower family iterative methods with arbitrary convergence order, whereas zeroing neural network (ZNN) a type dynamics intended handling time-varying problems. A ZNN models that correlate defined on basis analogy was discovered. These models, known as higher-order (HOZNN), can be to find real symmetric solutions algebraic Riccati equations. Furthermore, noise-handling HOZNN (NHOZNN) class...
Continuing education (CE) is an essential requirement for pharmacy professionals to stay abreast with the evolving knowledge and skills of practice meet regulatory mandate. The purpose this research assess factors affecting satisfaction pharmacists technicians towards CE practices in Saudi Arabia. A self-administered survey instrument was developed following extensive literature search. questionnaire consisted three sections: participants' demographics, data on activities over past year...
Alzheimer's disease (AD) is a progressive neurological disorder characterized by the gradual deterioration of cognitive functions, leading to dementia and significantly impacting quality life for millions people worldwide. Early accurate diagnosis crucial effective management treatment this debilitating condition. This study introduces novel framework based on Spectral Graph Convolutional Neural Networks (SGCNN) diagnosing AD categorizing multiple diseases through analysis functional changes...
Employee attrition, defined as the voluntary resignation of a subset company’s workforce, represents direct threat to financial health and overall prosperity firm. From lost reputation sales undermining long-term strategy corporate secrets, effects employee attrition are multidimensional and, in absence thorough planning, may endanger very existence It is thus impeccable today’s competitive environment that company acquires tools enable timely prediction leave room either for retention...
This article adopts e-learning analytics principles to provide a new model explain the acceptance behaviour of recommender systems adoption with in Saudi Arabian context and reflects increasing focus Ministry Education on delivering online educational services. has come at necessity improve overall access education system, higher been driven evidence improving learning outcomes electronic (e-learning) information instructional technology use systems. review utilises as theoretical framework...
Because of the interest in mining learning from text and even images shared posts, comments, chats online e-learning networks, it is necessary to identify whether contextually reflects learner's interests. Thus, based on posts comment analysis, possible automatically recommend that meet interests learners instructors through an application system. Until recently, web personalisation social has received little attention networking research. Furthermore, there published research for...
In this paper, a framework is presented to explore the factors of e-learning recommender system acceptance for Saudi universities. This will assist investigate students/instructors experience according service quality. Such that based on Technology Acceptance Model (TAM), describes online learning should be considered in because it viewed as determinant student/instructor/university satisfaction.
Parent-implemented interventions are reported to have positive outcomes for both children with autism and their parents. Online parent training coaching been increasingly used as an effective alternative or supplemental traditional face-to-face services, especially after the start of Covid-19 pandemic. The purpose this study was examine extent which parents can implement a set newly acquired strategies impact these had on children's communication skills. Four mother–child dyads from rural...
We explore second-order systems of non-stiff initial-value problems (IVPs), particularly those cases where the first derivatives are absent. These types significant interest and have applications in various domains, such as astronomy physics. Runge–Kutta–Nyström (RKN) pairs stand out highly effective methods addressing these IVPs. In order to create a pair with eighth sixth orders, we need address certain known set equations concerning coefficients. When constructing for use double-precision...
Emotional recognition is a way of detecting, evaluating, interpreting, and responding to others' emotional states feelings, which might range from delight fear disgrace. There increasing interest in the domains psychological computing human-computer interface (HCI), especially Emotion Recognition (ER) Virtual Reality (VR). Human emotions mental are effectively captured using Electroencephalography (EEG), there has been growing need for analysis VR situations. In this study, we investigated...
Introduction: Critical care pharmacists as integral members of multidisciplinary teams, play a crucial role in enhancing clinical, economic and humanistic outcomes for all critically ill patients. In this region, however, the impact critical pharmacist have not been well investigated.Objectives: The purpose study was to classify estimate interventions that are associated with cost avoidance intensive units. Methods:This single center prospective, observational conducted at 30-bed adult...
E-learning recommender systems have an import role in Saudi Arabia to facilitate the education empowerment of women. The understanding key factors that affect adoption is critical achieving educational equality outcomes countries with gender-based cultural practices. Therefore, this study examined Arabian students' experiences using e-learning analytics system during their and extent which were predictors post-adoption system. A sample 353 students from various universities completed a...
Skin cancer is one of the most common, deadly, and widespread cancers worldwide. Early detection skin can lead to reduced death rates. A dermatologist or primary care physician use a dermatoscope inspect patient diagnose disorders visually. essential, in order confirm diagnosis determine appropriate course therapy, patients should undergo biopsy histological evaluation. Significant advancements have been made recently as accuracy categorization by automated deep learning systems matches that...
There is still a gap of knowledge on the usage recommender systems in Saudi universities and wider issue technological change developing counties. Relatively, this lack an to seeking meet students/instructors expectations requirements by offering consistently high perceived service standards e-learning services rapidly changing environment. In addition, are not able accept adopt good practice UK solve problems universities. This because a) there different university environment, b) education...
This paper explores the academic staff perceptions on factors affecting acceptance and continuance usage of e-learning recommender system in Saudi Arabia basis a qualitative data that were collected using case study methodology. In this research, design was selected for methodology semi-structured interviews employed as collection method study. The is based university implementing an Arabia. We conducted with five management thus collected. Data analysis performed NVIVO 10th version software...