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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The impacts of tablet use for eliminating the time-space barriers in university education by Uzunoglu, Sarphan

“…It is found out that average class success increased by %8 compared to previous years, mobilization and online interaction level increased, average time spent for class increased and 3G was used more than Wifi technologies during the semester that enables the mobility and allows time-space independency for the students.…”
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Ambulatory general urgent clinic: an initiative at the time of COVID-19 pandemic by Abdullah Al-Hothi (18505290)

“…Long waiting time to get an appointment is a universal challenge that increased during the COVID-19 pandemic. …”

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. …”

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

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Prospective, randomized, crossover study to evaluate the benefit of human chorionic gonadotropin-timed versus urinary luteinizing hormone-timed intrauterine inseminations in clomip... by Zreik, Tony

“…Conclusion(s): Timing IUI with the use of a relatively expensive and time-consuming method such as ultrasound monitoring of folliculogenesis and hCG induction of ovulation does not appear to produce an increased pregnancy rate over urinary LH monitoring of ovulation.…”
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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. …”

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

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Performance analysis and iterative decoding of I-Q trellis space-time codes by Zummo, S.A.

“…I-Q trellis codes are known to increase the time diversity of coded systems. When I-Q codes are used with multiple transmit antennas, the decoding and performance evaluation requires the construction of the high-complexity super-trellis of the component codes. …”
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Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink by Yasser, Tawfik

“…Gathering all perti nent input within a window is crucial for event time windowing since it affects how accurate results are. …”
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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. …”

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. …”

A Framework for Project Time-Cost Optimization Considering Float Consumption Impact by Al Haj, Rana Ali

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A decoding algorithm for I-Q space-time coded systems in fadingenvironments by Zummo, S.A.

“…This paper presents the decoding of the I-Q space-time (ST) codes. The decoding problem of I-Q ST codes is formulated. …”
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Neutrophil‐to‐Lymphocyte Ratio Predicts Dialysis Timing & Prognosis in Critically Ill Patients by Abdulqadir J. Nashwan (11659453)

“…Its integration into clinical practice could enhance patient care and treatment timing, and further studies should validate its clinical utility.…”

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

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. …”

Challenges for road safety in fast developing societies: We need a vision zero to permanently reduce accidents and save life and health by facing fast increasing traffic by Kurt Bodewig (19794543)