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. …”

Increased Fracture Risk After Bariatric Surgery: a Case-Controlled Study with a Long-Term Follow-Up by Omar Suhail Alsaed (14151861)

“…This study aimed to investigate whether bariatric surgery increases fracture risk.</p> <h2>Material and Methods</h2> <p>It was a case-controlled study. …”

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%.…”

Preoperative Bevacizumab Does Not Significantly Increase Postoperative Complication Rates in Patients Undergoing Hepatic Surgery for Colorectal Cancer Liver Metastases by Kesmodel, Susan

“…Conclusion Neither the use of BV nor timing of BV administration was associated with an increase in complication rates. …”
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Organizational Change Management: A study on the need for a re-structured organization within a functional configuration by Al Marzouqi, Abdulla Ibrahim Abdulla

“…Then, critical factors that might lead to choosing one form of structure over the others will be discussed by deciding about how to tie projects to the parent organization and how to organize the project teams. …”
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Additive manufacturing for sustainability and circular economy: needs, challenges, and opportunities for 3D printing of recycled polymeric waste by Ans Al Rashid (14777050)

“…Moreover, additive manufacturing (AM) or 3D printing (3DP) processes provide rapid fabrication of functional parts in lesser time, lower lead times, and lower research and development costs. …”

Need for Affect, Problematic Social Media Use and the Mediating Role of Fear of Missing Out in European and Arab Samples by Areej Babiker (17032314)

“…<h3>Purpose </h3><p dir="ltr">The growing awareness and concern about the excessive use of social media have led to an increasing number of studies investigating the underlying factors contributing to this behavior. …”

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

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Examining time-to-transport decisions in Emergency Medical Services by Hassan Farhat (9000509)

“…This trend suggests that extended time could adversely affect patient care if they eventually need to recall for an ambulance. …”

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

“…Biological age better reflects a person’s actual age and is closely associated with health outcomes and time to mortality. Traditionally, most aging clocks assume that biological changes occur linearly over time. …”

Increased Frequency of Severe Hypoglycemia with the Modified-Release Gliclazide Compared to Glimepiride in Diabetic Older Adults; Propensity Score-Adjusted Analysis by Ahmed Fouad Algendy (18102706)

“…The low doses of both treatments did not show any SHEA cases, while the results with higher doses showed the same pattern of increased risk with gliclazide MR as the principle analysis. …”

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

“…Recently, social media users are increasingly using images and videos to express their feelings and share emotions. …”
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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. …”

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. …”

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

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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. …”

Computed tomography-detected hemothorax after blunt chest trauma: Does everyone need an intervention? A retrospective analysis by Ismail Mahmood (14150352)

“…They also had larger hemothorax volumes (<i>p</i> = 0.001), a greater need for mechanical ventilation (<i>p</i> = 0.001), and prolonged hospitalization (<i>p</i>= 0.001). …”

How does an imaginary persona's attractiveness affect designers' perceptions and IT solutions? An experimental study on users' remote working needs by Joni Salminen (7434770)

“…The personas' completeness, credibility, empathy, likability and usefulness increased with attractiveness. More attractive personas were also perceived as more agreeable, emotionally stable, extraverted and open, and the participants spent more time engaging with personas they perceived attractive. …”

Coping mechanisms among Lebanese first-time college students by Doumit, Rita

“…As the usage of withdrawal coping strategies, being exposed to stress related to self and uncertainty increased, the well-being of Lebanese first-time college students decreased. …”
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