Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

“…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Perceptions of Science Teachers Regarding Instruction that Increase High School Students' Motivation to Learn Science in Al Ain City by ALKHATIB, SARA

“…The current study was carried out to investigate the high school science teachers’ perceptions regarding instruction that increases high school students’ motivation to learn science in Al Ain City. …”
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Artificial Intelligence Chatbots: A Survey of Classical versus Deep 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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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by Awar, Zeina

“…Several options are available to increase physicians' awareness of the problem.…”
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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%.…”

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 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. …”

Nonclassicality of open circuit QED systems in the deep-strong coupling regime by Tomohiro Shitara (18508206)

“…In contrast, when the two couplings are of the same type (for instance, both are inductive), by increasing the R–W coupling strength, the average number of virtual photons increases and the quantum superposition realized in the Q–R entangled ground state is partially degraded. …”

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. …”

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

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

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Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

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. …”

A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

“…Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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