Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle by Mansour, Charbel

“…Cabin heating and cooling can especially lead to considerable increase in vehicle energy consumption. This paper presents a simulation-based assessment framework to account for the additional fuel consumption related to the cabin thermal energy and auxiliary needs under the worldwide-harmonized light vehicles test procedure (WLTP). …”
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Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case by Mohammad I. Al-Housani (19170967)

“…<p dir="ltr">This paper presents a comprehensive and comparative investigation into the needs, challenges, and potential roles for entrepreneurship in transforming resource-rich countries into sustainable economies. …”

Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews by SIYAM, BILAL YACOUB

“…The number of smartphone users in the United Arab Emirates (UAE) has increased by 25% in the last four years (Statista.Com 2018c). …”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”

Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition by Albadawi, Yaman Sufian

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Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

“…While the calculations were being performed, certain variables were modified. The accuracy was increased by optimizing the fit parameters based on Hyperparameter tuning. …”

Review on COVID-19 diagnosis models based on machine learning and deep learning approaches by Abu Zitar, Raed

“…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning by Amer, Hala Nagi

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Perceptions and Views Regarding the Role of the Special Educational Needs and Disabilities Coordinators (SENDCos) and Challenges Affecting the Role in the United Arab of Emirates (... by HAMMAD, AMAL

“…The expectations of the special and inclusive education have been rapidly increased over the last decade. Therefore, it is significant to introduce a person, such as the Special Educational Needs and Disabilities coordinator (SENDCo), who is able to lead the inclusion movement and bear the brunt of these changes in every school. …”
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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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Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning by Mohamed Massaoudi (16888710)

“…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”

Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

“…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology by Muhammad Shehab (16904880)

“…For the second aim, we establish a loose upper bound and employ an exhaustive search <i>(</i><i>E</i><i>S</i><i>)</i> . We employ deep reinforcement learning (DRL) to address both aims, demonstrating its effectiveness in complex scenarios. …”

Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions by Shanableh, Tamer

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Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques by Eljil, Khuloud Abdel Aziz Safi

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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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How FIFA World Cup 2022™ can meet the carbon neutral commitments and the United Nations 2030 Agenda for Sustainable Development?: Reflections from the tree nursery project in Qatar... by Ioannis Spanos (2086933)

“…It was also found that the amount of carbon footprint reduction after the FIFA World Cup 2022 is expected to increase steadily during the average life expectancy of the trees assessed, which were evaluated to be circa 135 years. …”

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Quantum Chemistry Insight into the Interactions Between Deep Eutectic Solvents and SO₂ by Mert Atilhan (1272906)

“…<p dir="ltr">A systematic research work on the rational design of task specific Deep Eutectic Solvents (DES) has been carried out via density functional theory (DFT) in order to increase knowledge on the key interaction parameters related to efficient SO₂ capture by DES at a molecular level. …”

Revolutionizing chronic lymphocytic leukemia diagnosis: A deep dive into the diverse applications of machine learning by Mohamed Elhadary (16329082)