Ambulatory general urgent clinic: an initiative at the time of COVID-19 pandemic by Abdullah Al-Hothi (18505290)

“…Our quality improvement study aimed to decrease the waiting time by 20%, from 21 days in January 2021 to 14 days in April 2021, to evaluate the newly established clinics for urgent referrals during the COVID-19 pandemic, and to assess the physicians’ satisfaction regarding these clinics.…”

Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

“…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

“…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

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Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

“…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”

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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Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

“…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…For the second aim, we establish a loose upper bound and employ an exhaustive search <i>(</i><i>E</i><i>S</i><i>)</i> . We employ deep reinforcement learning (DRL) to address both aims, demonstrating its effectiveness in complex scenarios. …”

Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions by Shanableh, Tamer

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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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The Impact of COVID-19 on the HIV Cascade of Care in Botswana – An Interrupted Time Series by Alice Sehurutshi (21842696)

“…In multivariable Poisson interrupted time series regression, the COVID-19 lockdown was associated with a 27% decrease in the monthly numbers of HIV tests (IRR 0.73, 95%CI 0.72–0.73), a 25% decrease in HIV positive tests (IRR 0.75, 95%CI 0.71–0.79), and a 43% reduction in ART initiations (IRR 0.57, 95%CI 0.55–0.60). …”

Swimming exercise improves short‐ and long‐term memories: Time‐course changes by Mahmoud A. Alomari (14780446)

“…However, the memory enhancement profile following the time-course of exercise training remains unknown. …”

Quantum Chemistry Insight into the Interactions Between Deep Eutectic Solvents and SO₂ by Mert Atilhan (1272906)

“…<p dir="ltr">A systematic research work on the rational design of task specific Deep Eutectic Solvents (DES) has been carried out via density functional theory (DFT) in order to increase knowledge on the key interaction parameters related to efficient SO₂ capture by DES at a molecular level. …”

Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning by Mohamed Elhadary (16329082)

Face Segmentation: A Journey From Classical to Deep Learning Paradigm, Approaches, Trends, and Directions by Khalil Khan (9333883)

“…Over the last two decades, methods for face segmentation have received increasing attention due to their diverse applications in several human-face image analysis tasks. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…<p dir="ltr">Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. …”

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…For complicated and ambiguous situations, deep learning technology provides accurate predictions. …”