Abdullah Alghamdi

ORCID: 0000-0002-5006-8527
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About
Contact & Profiles
Research Areas
  • IoT and Edge/Fog Computing
  • Digital Marketing and Social Media
  • Blockchain Technology Applications and Security
  • Customer Service Quality and Loyalty
  • Technology Adoption and User Behaviour
  • Consumer Retail Behavior Studies
  • Privacy-Preserving Technologies in Data
  • Online Learning and Analytics
  • Cloud Computing and Resource Management
  • AI in cancer detection
  • Data Stream Mining Techniques
  • Parkinson's Disease Mechanisms and Treatments
  • Caching and Content Delivery
  • IoT-based Smart Home Systems
  • Water Quality Monitoring Technologies
  • Sustainable Supply Chain Management
  • COVID-19 Pandemic Impacts
  • Voice and Speech Disorders
  • IPv6, Mobility, Handover, Networks, Security
  • Fire Detection and Safety Systems
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Software Engineering Research
  • Internet of Things and AI
  • COVID-19 impact on air quality

Najran University
2019-2025

Ministry of Health
2024

Imam Abdulrahman Bin Faisal University
2021

Tennessee State University
2016-2018

King Saud University
2011

NorthEast Regional Epilepsy Group
2008

London Health Sciences Centre
2005

Western University
2005

IoT with its ability to make objects be sensed and connected is inevitable in the smart campus market. Even though market has not taken off yet, there an enormous research that going on now all over world explore such technology. Several factors are driving investigators study including: deliver high quality services, protect environment, save cost. In this paper, only we conducted area, but also investigate challenges provide possible opportunities regarding campus.

10.1109/ficloud.2016.41 article EN 2016-08-01

This research proposes a generic smart cloud-based system in order to accommodate multiple scenarios where agriculture farms using Internet of Things (IoTs) need be monitored remotely. The real-time and stored data are analyzed by specialists farmers. cloud acts as central digital store information is collected from diverse sources huge volumes variety, such audio, video, image, text, maps. Artificial Intelligence (AI) based machine learning models Support Vector Machine (SVM), which one...

10.3390/en14165129 article EN cc-by Energies 2021-08-19

Electrical load forecasting provides knowledge about future consumption and generation of electricity. There is a high level fluctuation behavior between energy consumption. Sometimes, the demand consumer becomes higher than already generated, vice versa. Electricity monitoring framework for generation, consumption, making balance them. In this paper, we propose framework, in which deep learning supervised machine techniques are implemented electricity-load forecasting. A three-step model...

10.3390/en13195193 article EN cc-by Energies 2020-10-05

Cloud computing offers flexible, interactive, and observable access to shared resources on the Internet. It frees users from requirements of managing their hardware. enables not only store data over internet but also can it whenever wherever is required. The frequent use smart devices has helped cloud realize need for its rapid growth. As more are adapting environment, focus been placed load balancing. Load balancing allocates tasks or different devices. In computing, played a major role in...

10.3390/electronics10212718 article EN Electronics 2021-11-08

The classification of whole slide images (WSIs) provides physicians with an accurate analysis diseases and also helps them to treat patients effectively. can be linked further detailed diagnosis. Deep learning (DL) has made significant advances in the medical industry, including use magnetic resonance imaging (MRI) scans, computerized tomography (CT) electrocardiograms (ECGs) detect life-threatening diseases, heart disease, cancer, brain tumors. However, more advancement field pathology is...

10.3390/s21165361 article EN cc-by Sensors 2021-08-09

Secure management of Critical National Infrastructures (CNI) is a burning challenge to any state. As CNI, Electronic Healthcare System (EHS) infrastructure records citizens’ medical records, raising security and privacy concerns. Traditional EHS functions independently where patients’ are recorded maintained in centralized systems that produce massive redundant data. Due the non-coherence these systems, data atomicity not maintained; hence research results based on create...

10.1109/access.2022.3156591 article EN cc-by-nc-nd IEEE Access 2022-01-01

Social media platforms have become a substratum for people to enunciate their opinions and ideas across the globe. Due anonymity preservation freedom of expression, it is possible humiliate individuals groups, disregarding social etiquette online, inevitably proliferating diversifying incidents cyberbullying cyber hate speech. This intimidating problem has recently sought attention researchers scholars worldwide. Still, current practices sift online content offset hatred spread do not go far...

10.3390/app13042062 article EN cc-by Applied Sciences 2023-02-05

Online recommendation agents have demonstrated their value in various contexts by helping users navigate information overload, supporting decision-making, and influencing user behavior. There is a lack of studies focusing on systems for green hotels that utilize user-generated content from social networking e-commerce platforms. While numerous explored the use real-world datasets hotel recommendations, development specifically remains underexplored, particularly context Saudi Arabia. This...

10.3390/su17052328 article EN Sustainability 2025-03-06

Agriculture plays a vital role in the economy of Pakistan. Issues concerning irrigation have been always encumbering development country. Water scarcity is becoming big issue because climate change, insufficient services and rising population. Farmers are not receiving supply equitable water efficiently due to current methods irrigation, such as inequitable distribution, manual reporting mogha discharge by OFWM, change turn at late night no need his allocated time, tail-end user problems...

10.3991/ijoe.v17i05.22081 article EN International Journal of Online and Biomedical Engineering (iJOE) 2021-05-20

Fire monitoring systems have usually been based on a single sensor such as smoke or flame. These unable to distinguish between true and false presence of fire, from cigarette which might cause the fire alarm go off. Consuming energy all day long being dependent one that end with alert is not efficient environmentally friendly. We need system only in sensing accurately, but we also solution smart. In order improve upon results existing systems, our uses combination three sensors increase...

10.3390/en14175500 article EN cc-by Energies 2021-09-03
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