A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection by Eyüp Halit Yilmaz (21400700)

“…<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. …”

Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…<p>While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs cannot always be trusted. …”

Cadmium Intake, Dietary Patterns and Hyperuricemia Among Adults in China by Zumin Shi (287671)

“…No association between the modern dietary pattern (high intake of fruit, soymilk, egg, milk and deep fried products) and HU was found. In conclusion, traditional southern dietary pattern and cadmium intake are positively associated with hyperuricemia among Chinese adults.…”

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

“…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”

Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira Hamai-Amara (17910608)

“…This review discusses the mechanisms implicated in heavy metal carcinogenicity. In addition, a deep understanding of microalgae's mitigating roles and strategies against heavy metal carcinogenicity are reviewed.…”

Learning Based Spectrum Sensing in OFDM Cognitive Radios by Muzaffar, Muhammad Umair

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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

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Exploring Beyond Numeric Weight Loss: The Metabolic Effects of Semaglutide. by Sara, Sokary

“…It also significantly reduced ad libitum energy intake, decreased hunger, and increased satiety in multiple trials. …”
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Elevated heparin-induced antibodies are more common in diabetic patients with vascular disease by Naoum, Joseph J.

“…Hypercoagulable disorders can lead to deep vein thrombosis (DVT), arterial thrombosis or embolization, and early or recurrent bypass graft failure. …”
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A new perspective on cardiovascular drift during prolonged exercise by Amine Souissi (9931616)

“…<p dir="ltr">Prolonged exercise induces cardiovascular drift, which is characterized by decreasing mean arterial pressure (MAP), stroke volume and heart rate increase. …”

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

“…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”

Investigation of Groundwater Depletion in the State of Qatar and Its Implication to Energy Water and Food Nexus by Hazrat Bilal (7367477)

“…Long-term temperature data indicates that the annual mean temperature increased significantly by 1.02 °C between 1987 and 2016, while total rainfall exhibited a slight decreasing trend. …”

Maternal Body Mass Index and Recommended Gestational Weight Gain in a Middle Eastern Setting by Tawa Olukade (11619453)

“…</p><h3>Results</h3><p dir="ltr">The mean maternal age was 29.7 ± 5.5 years, prepregnancy BMI was 27.5 ± 5.8 kg/m2, GWG was 9.58 kg ± 6.87 kg and gestational age at birth was 38.5 ± 1.9 weeks. …”

Developing a Framework for improving Business Continuity Management success (BCM) in UAE Construction Industry by ALFALASI, ALMUR ABDULLA

“…Different kind of techniques such as frequency distribution, cross tabulation, One Way ANOVA, descriptive and pie charts as well as bar graphs Conclusion and recommendation Study concludes that labor work permit and Rain & flooding have highest mean. Larger spread value of sand storms and labor work permit factors explore that more spread out the observations are. …”
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Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills by Abbas, Tariq

“…However, EMG measurements showed significant reductions in average EMG power, total time, dominant frequency, and cumulative muscle workload after training. Additionally, the mean power spectral density of the EMG signal decreased notably post-training. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) by Mohammad, Hadi Ahmad

“…All the scenarios present increasing minimum and maximum temperatures and decreasing precipitation, except for RCP8.5, which predicted a more adverse trend. …”
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Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System by Maziad, Hussein

“…Spoken dialogue system interfaces are gaining increasing attention, with examples including Apple’s Siri, Amazon’s Alexa, and numerous other products. …”
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Urban Sustainability and Livability: An Analysis of Doha’s Urban-form and Possible Mitigation Strategies by Soud Al-Thani (18174334)

“…Doha is also a relatively low-density city where the main driver of its urban sprawl is the inhabitants’ deep-set desire for privacy, and hence, home ownership of single-family detached villas, which have become the predominant residential building-block of neighborhoods with little to no provisions of in-neighborhood community services and amenities such as basic shopping, health, education, and recreation. …”

D-Dimer, Fibrinogen, and IL-6 in COVID-19 Patients with Suspected Venous Thromboembolism: A Narrative Review by Islam Eljilany (14151588)

“…Primary manifestations of thrombotic events include deep vein thrombosis (DVT), disseminated intravascular coagulation (DIC) and pulmonary embo lism (PE). …”

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

“…<p dir="ltr">The integration of digital technologies into traditional power systems has increased the efficiency and sustainability of power grids, transforming traditional grids into smart grids. …”