Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO₂ levels before, during and after the tournament over Greater Doha. …”

Perinatal exposure to PFOS and sustained high-fat diet promote neurodevelopmental disorders via genomic reprogramming of pathways associated with neuromotor development by Issam Hmila (9239059)

“…It’s also known that obesity and consumption of a high fat diet have negative effects on the brain, impairs cognition and increases the risk for the development of dementia. …”

Combinatory effect of diet and exercise on brain derived neurotrophic factor expression, cognitive function and behavioral phenotypes of psychiatric disorders. (c2017) by Abou Haidar, Edwina T.

“…We have found that combining a high protein diet with exercise has an additive effect on the induction of brain Bdnf expression. …”
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Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by A. Alazzam, Bayan

“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by Awar, Zeina

“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

“…As the imperfection increases by ten times, the rate decreases by more than 10%.…”

Neuron-level Interpretation of Deep NLP Models: A Survey by Hassan Sajjad (5297441)

“…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …”

Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…Concerning the overall diet perception, 27.8%, and 33.2% perceived that their overall diet has become less healthy, or healthier respectively, since the start of staying at home measures. …”

Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

“…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …”

Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks by Alawar, Mohammad Suhail Abdulwahid Abdulrahman

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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches by Natasha Akram (20749538)

“…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”

Nonclassicality of open circuit QED systems in the deep-strong coupling regime by Tomohiro Shitara (18508206)

“…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …”

An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

“…The deaths by diabetes are increasing each year, so the need to develop a system that can effectively diagnose diabetes patients becomes inevitable. …”

Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach by Elabora, Abdallah

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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data by Arshad, Muhammad Arbab

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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes by Anas M. Tahir (16870077)

“…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …”

Comparative Study on Beneficial Effects of Hydroxytyrosol- and Oleuropein-Rich Olive Leaf Extracts on High-Fat Diet-Induced Lipid Metabolism Disturbance and Liver Injury in Rats by Ines Fki (14571855)

“…The current research showed that the treatment with the HFD increased the body weight and adipose tissue mass in male rats. …”

Akkermansia, a Possible Microbial Marker for Poor Glycemic Control in Qataris Children Consuming Arabic Diet—A Pilot Study on Pediatric T1DM in Qatar by Arun Prasath Lakshmanan (16444663)

“…When we classified the subjects based on dietary patterns and nationality, <i>Akkermansia</i> was significantly enriched in Qataris subjects without the CSII therapy consuming Arabic diet than expatriates living in Qatar and eating a Western/mixed diet. …”