DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. The newly proposed DiaNet v2 model is developed using a large dataset from Qatar Biobank (QBB) and Hamad Medical Corporation (HMC) covering wide range of pathologies in the the retinal images. …”

Microbial-based evaluation of anaerobic membrane bioreactors (AnMBRs) for the sustainable and efficient treatment of municipal wastewater by Harb, Moustapha

“…Due to rising interest in wastewater effluent reuse and the lack of a comprehensive understanding of MBR systems’ effects on pathogen proliferation, this dissertation also investigates the presence of pathogens in both aerobic and anaerobic MBR effluents by using molecularbased detection methods. The findings of this dissertation demonstrate that membrane-associated anaerobic digestion processes have significant potential to improve the sustainability of wastewater treatment. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…</p><h3>Results</h3><p dir="ltr">Ensemble based models XGboost and RF achieved over 84% accuracy for detecting diabetes. …”

Accelerating Sepsis Diagnosis Through Culture-Free Genomics: Early Findings And Cost-Effectiveness From A Pilot Study by Faisal E. Ibrahim (19962788)

“…</p><h3 dir="ltr">Conclusion</h3><p dir="ltr">ONT-based 16S rRNA sequencing offers a rapid, sensitive, and cost-effective alternative to traditional blood cultures for diagnosing neonatal sepsis, with the potential to significantly improve clinical outcomes in NICU settings.…”

Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…According to all of the articles, the deep learning technique has successfully created significant accuracy and prediction in the model utilized. …”

Targeting solid tumor cells with novel photosensitive ruthenium-based metal-organic compounds. (c2016) by Farhat, Stephanie Roy

“…The ultimate goal is to base future selective anticancer treatments using Ru-based compounds. …”
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The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects by Ilhame Diboun (3522413)

“…This pioneering study provides a reliable estimate of FH prevalence in Qatar based on a significantly large population-based cohort, whilst uncovering the spectrum of genetic variants associated with FH.…”

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”

Epidemiology of extended-spectrum beta-lactamase producing Enterobacteriaceae in Qatar: A 3-year hospital-based study by Musaed Alsamawi (14778031)

Targeting acute myeloid leukemia cells with novel photosensitive ruthenium-based metal-organic compounds. (c2015) by Azar, Daniel Fadi

“…Of the four free ligands tested (L-I, L-II, L-III and L-IV corresponding to Ru-I, Ru-II, Ru-III and Ru-IV, respectively), significant cytotoxic activity was detected in eight out of nine cell lines, only with L-I and L-II, (IC50 values in the low μM range for L-I and reaching the nM range for L-II). …”
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Interleukin-35 and Thymoquinone nanoparticle-based intervention for liver protection against paracetamol-induced liver injury in rats by Maisa Siddiq Abduh (16381125)

A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity by Fatemeh Negar Irani (16410087)

“…<p dir="ltr">Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and result in significant energy waste. This paper presents an innovative data-driven approach for sensor fault detection and isolation in multi-zone HVAC systems. …”

Enhancing the Incident Response Capabilities of the UAE Critical Infrastructure Against Phishing Cyber Security Threat: An AI-Based Approach by Bushra Rwashdeh

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An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering by Surjeet Dalal (4906894)

“…With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. …”

Electric Grid Resilience Enhancement During Natural Disasters: An Optimization-Based UAV Inspection and Dynamic Crew Dispatch Model by Serag, Yousef

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Recycling of Date Pits Into a Green Adsorbent for Removal of Heavy Metals: A Fractional Factorial Design-Based Approach by Khalid Al-Saad (5768084)

Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey by Yassine Himeur (14158821)

“…Then, VSDM techniques are carefully reviewed after dividing them into two main categories: hand-crafted feature-based and deep-learning-based methods. A significant focus is paid to convolutional neural networks (CNN)-based methodologies as most of the frameworks have used either one-stage, two-stage, or multi-stage CNN models. …”

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…Many researchers have suggested deep and machine learning-based fruit disease detection and classification models. …”

Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar by Mohamed, Sallam

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Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

“…<p>Authorship discrimination is the task of detecting whether two writings are authored by the same person. …”