A5003119595- Smart Agriculture and AI
- Trauma and Emergency Care Studies
- Data Management and Algorithms
- Spectroscopy and Chemometric Analyses
- AI in cancer detection
- Machine Learning in Healthcare
- Body Contouring and Surgery
- Emergency and Acute Care Studies
- Ophthalmology and Visual Impairment Studies
- COVID-19 diagnosis using AI
- Bariatric Surgery and Outcomes
- Artificial Intelligence in Healthcare
- Date Palm Research Studies
- Intraocular Surgery and Lenses
- Brain Tumor Detection and Classification
- Fire Detection and Safety Systems
- Cardiac Fibrosis and Remodeling
- Cardiovascular Disease and Adiposity
- Advanced Technologies in Various Fields
- Smart Parking Systems Research
- Histiocytic Disorders and Treatments
- Infrared Thermography in Medicine
- Vehicular Ad Hoc Networks (VANETs)
- Autopsy Techniques and Outcomes
- Automated Road and Building Extraction
Hamad Medical Corporation
2023-2025
King Khalid University
2023-2024
King Abdulaziz University
2023-2024
Federal Urdu University
2023
University of Colorado Denver
2018-2021
With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and mortality rate this disease pose severe global health issues for women. Identifying disease’s influence is only practical way to lessen it immediately. Numerous research works have developed automated methods using different medical imaging identify BC. Still, precision each strategy differs based on available resources, issue’s nature, dataset being used. We proposed a novel deep bottleneck convolutional...
Globally, pests and plant diseases severely threaten forestry agriculture. Plant protection could be substantially enhanced by using non-contact, extremely effective, reasonably priced techniques for identifying tracking across large geographic areas. Precision agriculture is the study of other technologies, such as hyperspectral remote sensing (RS), to increase cultivation instead traditional agricultural methods with less negative environmental effects. In this work, we proposed a novel...
Abstract Purpose To evaluate the progress in Qatar’s eye care since 2009, focusing on effective cataract surgical and refractive error coverages, leading to enhanced health strategies action plans. Methods A modified Rapid Assessment of Avoidable Blindness (RAAB) survey was employed using multi-stage sampling all persons 50 years older Qatar. The study focused uncorrected errors, surgery coverage effectiveness, visual acuity assessment. Results There were 339 individuals out 3,206 examined...
The prompt spread of COVID-19 has emphasized the necessity for effective and precise diagnostic tools. In this article, a hybrid approach in terms datasets as well methodology by utilizing previously unexplored dataset obtained from private hospital detecting COVID-19, pneumonia, normal conditions chest X-ray images (CXIs) is proposed coupled with Explainable Artificial Intelligence (XAI). Our study leverages less preprocessing pre-trained cutting-edge models like InceptionV3, VGG16, VGG19...
In recent years, disease attacks have posed continuous threats to agriculture and caused substantial losses in the economy. Thus, early detection classification could minimize spread of help improve yield. Meanwhile, deep learning has emerged as significant approach detecting classifying images. The performed using mainly relies on large datasets prevent overfitting problems. Automatic Segmentation Hyper Parameter Optimization Artificial Rabbits Algorithm (AS-HPOARA) is developed overcome...
The Internet of Vehicles (IoV) is a specialized iteration the Things (IoT) tailored to facilitate communication and connectivity among vehicles their environment. It harnesses power advanced technologies such as cloud computing, wireless communication, data analytics seamlessly exchange real-time vehicles, road-side infrastructure, traffic management systems, other entities. primary objectives this include enhancing road safety, reducing congestion, boosting flow efficiency, enriching...
Abstract This study presents a comparative analysis of classical and deep learning approaches for the classification apple fruit quality, within broader context machine vision applications. Emphasizing importance fruit's physical appearance in meeting market standards, research explores performance methods such as Support Vector Machine (SVM), K-nearest neighbour (KNN), Decision Tree (DT), comparison to like Mobile-Net Convolutional Neural Network (CNN) with self-design. A self-created...
In today's world, stress is a major factor for various diseases in modern societies which affects the day-to-day activities of human beings. The measurement contributing governments and that impacts quality daily lives. strategy monitoring systems requires an accurate classification technique identified via reactions body to regulate itself changes within environment through mental emotional responses. Therefore, this research proposed novel deep learning approach system. paper, we presented...
Endoscopic sleeve gastroplasty (ESG) is safe and effective in patients with a body mass index (BMI) more than 30, few cases reported overweight (BMI 27-30). However, evidence lacking the group because procedure not currently performed routinely for such patients. In this study, we aim to evaluate safety efficacy of ESG BMI between 27 30 who failed other weight loss modalities and/or had weight-related comorbidities.This was subgroup analysis data pertaining adults underwent as primary...
Fog computing extends mobile cloud facilities at the network edge, yielding low-latency application execution. To supplement services, computationally intensive applications can be distributed on resource-constrained devices by leveraging underutilized nearby resources to meet latency and bandwidth requirements of Building upon this premise, it is necessary investigate idle or that are present edge network. The utilization a microservice architecture in IoT development, with its increased...
<title>Abstract</title> Purpose To evaluate the progress in Qatar's eye care since 2009, focusing on effective cataract surgical and refractive error coverages, leading to enhance health strategies action plans. Methods A modified Rapid Assessment of Avoidable Blindness (RAAB) survey was employed using multi-stage sampling all persons 50 years older Qatar. The study focused uncorrected errors, surgery coverage effectiveness, visual acuity assessment, with secure data gathering. Results There...
The availability of location-aware devices generates tremendous volumes moving object trajectories. processing these large-scale trajectories requires innovative techniques that are capable adapting to changes in cloud systems satisfy a wide range applications and non-programmer end users. We introduce Resilient Moving Object Index is balancing both spatial localities maximize the overall performance numerous environments. It equipped with compulsory, discrete, impact factor prediction...