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. …”

Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma(Lambda, 2) In-Control Times by Al-Oraini, H.A.

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Economic Statistical Design Of (X)Over-Bar Control Charts For Systems With Gamma (Lambda,2) In-Control Times by Al-Oraini, H.A.

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Does the CEO effect differ in times of crisis? Evidence from US and China during the global financial crisis by Kleindienst, Ingo

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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. …”

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. …”

Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

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

“…The Schoenfeld plot (Figure 2) demonstrates that multiple variables have a significant impact on increasing the time-to-handover.</p><h3>Conclusion</h3><p dir="ltr">The study elucidates and clarifies key factors affecting time-to-transport in EMS, underscoring a decline in transport success rates as time on scene lengthens. …”

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. …”

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. …”

A Narrative Review on Prevention and Early Intervention of Challenging Behaviors in Children with a Special Emphasis on COVID-19 Times by Sarah Musa (12269578)

“…<h3>Background</h3><p dir="ltr">COVID-19 and the measures stemming from efforts to control it have affected the psychosocial wellbeing of children and adolescents. The increasing trend of challenging behavior has exerted further pressure on parents and schools. …”

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

“…This improvement can reduce time, efforts, and labor in healthcare services as well as increasing the final decision accuracy.…”

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. …”

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. …”

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

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Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 by Mokdad, Ali H

“…However, diarrhoeal diseases were the leading cause of death in Somalia (186·7 deaths per 100 000 people) in 2013, which decreased by 26·9% since 1990. …”
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