A Carbazole-Based Aggregation-Induced Emission “Turn-On” Sensor for Mercury Ions in Aqueous Solution حسب Radha, Remya

"…The sensor, based on carbazole, forms aggregates in aqueous solutions, resulting in a significant 800% enhancement of its fluorescence signal. …"
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The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer حسب Saidul Kabir (15302407)

"…Materials and Methods A deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …"

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer حسب Saidul, Kabir

"…Materials and MethodsA deep learning-based automatic framework was utilized for the automatic detection of Her-2/neu score from whole slide images (WSI). …"
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An Energy-Water-Food Nexus-based Decision-making Framework to Guide National Priorities in Qatar حسب Sarah Namany (17268922)

"…Conducting a holistic performance analysis considering multiple assessment criteria permits the detection of discrepancies hindering systems productivity. …"

COVID-19 (SARS-CoV-2) outbreak monitoring using wastewater-based epidemiology in Qatar حسب Jayaprakash Saththasivam (14151669)

"…The estimated number of infected population on any given day using the wastewater-based epidemiology approach declined from 542,313 ± 51,159 to 31,181 ± 3081 over the course of the sampling period, which was significantly higher than the officially reported numbers. …"

Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches حسب Doaa Farid (22565300)

"…Targeted metabolites were selected based on correlation strength with diabetes status. …"

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study حسب Thomas Farrell (3933833)

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…The experimental results on the CICMalDroid 2020, KronoDroid, and AndroZoo Android malware detection datasets demonstrate a significant attack success rate, with a reduction of accuracy from 96–97% down to 24–29%, which surpasses the traditional FGSM and PGD variants. …"

An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization حسب Majdi Mansouri (16869885)

"…First, an efficient feature selection algorithm based on particle swarm optimization (PSO) is proposed. …"

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images حسب 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 حسب 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 حسب 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 حسب 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 حسب 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) حسب Farhat, Stephanie Roy

"…The ultimate goal is to base future selective anticancer treatments using Ru-based compounds. …"
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Whole-Genome Molecular Characterization and Typing of Staphylococcus aureus Isolated from Lebanon حسب El Hassan, Sarah

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The Prevalence and Genetic Spectrum of Familial Hypercholesterolemia in Qatar Based on Whole Genome Sequencing of 14,000 Subjects حسب 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.…"

Altered regulation of cell migration in IRF6-mutated orofacial cleft patients-derived primary cells reveals a novel role of RhoGTPases in cleft/lip palate development حسب Al Saneh, Mounir

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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images حسب 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 حسب Musaed Alsamawi (14778031)