Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. Reported adverse events were mild and transient. …”
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

Evaluation of highly active and stable SiO₂ supported Fe-based catalysts for the catalytic methane decomposition into COx free hydrogen and CNTs by Assem T. Mohamed (16023355)

“…<p>Catalytic methane decomposition is believed to be an economic and environmental friendly route for the production of COx free hydrogen and high quality carbon nanotubes. …”

Designing constructed wetlands for reclamation of pretreated wastewater and stormwater by Tao, Wendong

“…Wastewater reclamation is getting greater attention as an alternative to conventional approaches to wastewater treatment and water supply due to increasing water stress coupled with more stringent water quality limitation for discharge of treated wastewater. …”
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Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

“…This paper proposes an efficient deep BiLSTMNet model to solve and mitigate these problems. …”

Support and attitudes of Qatar mental health professionals to a proposed mental health inpatient smoking ban: Results of a cross‐sectional survey by Ashishkumar Badanapurkar (14779579)

“…This highlights that local research is necessary to help shape training and successfully implement smoke-free policies.</li> </ul> </div> <h3> Abstract</h3> <h3>4.1 Introduction</h3> <p>Despite the fact that patients with serious mental illness (SMI) have high rates of smoking and an increased standardized mortality, there is virtually no information about attitudes to smoking bans in mental health units from countries in the Middle East and North Africa region.…”

Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images by Shanableh, Tamer

“…CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. As such, two deep learning models are generated; one for predicting the number of words per sentence and the other for recognizing the meaning of the sign language sentences. …”
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AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite by Reda, Mariam

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Quantification of relaxor behavior in (1 − x)Na0.5Bi0.5TiO3 – xCaTiO3 lead-free ceramics system by Roukos, Roy

“…This work examines the relaxor behavior of lead-free ceramic (1 − x)Na0.5Bi0.5TiO3–xCaTiO3 systems. …”
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Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review by Najlaa Essa A. H. Al‐Mannai (21841775)

“…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …”

Analysis of Serum Advanced Glycation Endproducts Reveals Methylglyoxal-Derived Advanced Glycation MG-H1 Free Adduct Is a Risk Marker in Non-Diabetic and Diabetic Chronic Kidney Dis... by Naila Rabbani (291722)

“…Nine protein-bound and free adduct AGEs were quantified in serum. Most protein-bound AGEs increased moderately through stages 2–4 CKD whereas AGE free adducts increased markedly. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

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The Impact of Arts Integration on the Learning and Social Abilities of Students with Disabilities: An Approach to an Inclusive Classroom by Shouma, Madiha

“…It is flexible and can be altered or modified to fit an individual student’s needs. This study aims to determine how AI can contribute to the academic and social development of students with disabilities in the classroom. …”
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Predicting COVID-19 in the UAE Using Machine Learning by Sankalpa, Donthi

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Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Dir... by Naveed Ahmed (2433958)

“…Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. …”

Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection by Hadid, Abdenour

“…Consequently, there is an urgent need to develop detection methods capable of distinguishing between real and fake satellite images. …”
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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

“…Artificial intelligence (AI) technologies and big data have been increasingly used to enhance the ability to predict and prepare for the patients at risk.…”

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners by Mehdi Mohammadi (5024105)

“…This increase is 82% less than the 11.3 increase seen in the baseline model. …”