The Impact Of Teachers’ Differentiated Initiations And Feedback On Students’ Responses: A Model Based On Audience Design And Bloom’s Taxonomy Of Cognitive Domains by ZAGHAB, MAI IDREES

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A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity by Fatemeh Negar Irani (16410087)

“…<p dir="ltr">Sensor faults in heating, ventilation, and air conditioning (HVAC) systems are inevitable and result in significant energy waste. This paper presents an innovative data-driven approach for sensor fault detection and isolation in multi-zone HVAC systems. …”

Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding by Shanableh, Tamer

“…This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. …”
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Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey by Yassine Himeur (14158821)

“…Then, VSDM techniques are carefully reviewed after dividing them into two main categories: hand-crafted feature-based and deep-learning-based methods. A significant focus is paid to convolutional neural networks (CNN)-based methodologies as most of the frameworks have used either one-stage, two-stage, or multi-stage CNN models. …”

High School Online Science Education: Its Application and Perceptions during COVID-19 in American Curriculum Schools in the UAE. by GHAITH, FARAH

“…The COVID-19 pandemic has had a significant impact on education, with many schools and universities shifting to online learning as a way to continue instruction while maintaining social distancing guidelines. …”
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A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT by Harun Surej Ilango (17545728)

“…The Canadian Institute of Cybersecurity Denial of Service 2017 (CIC DoS 2017) dataset is used for the study. An iterative wrapper-based feature selection using Support Vector Machine (SVM) is used to derive the significant features required for detection. …”

The Impact of Digital Knowledge Management on Organizational Performance by Karim, Asma Abdul

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Criminal Behavior Identification Using Social Media Forensics by Noorulain Ashraf (17541996)

“…The challenge of behavior detection can be sorted out by applying social media forensics on social media profiles, which involves NLP and deep learning techniques. This paper is based on the study of state of the art work on behavior detection, and based on the research, a model is proposed for behavior detection. …”

Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

“…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet by Md. Shaheenur Islam Sumon (22045907)

“…We evaluated various encoder-decoder configurations and identified that the combination of an EfficientNet-based encoder with a Self-ONN-based decoder yielded the best performance. …”

Using Assessment Design Decision Framework in understanding the Impact of rapid transition to remote education on student assessment in health-related colleges: A qualitative study by Myriam Jaam (11014409)

“…<p>Maintaining integrity and validity with online assessment is a significant issue that is well documented. Overt policies encouraging educators to adopt e-Learning and implement digital services coupled with the dramatic change in the education system in response to the challenges posed by COVID-19, has furthered the demand for evidence-based approaches for the planning and delivery of assessments. …”

A Cross-Sectional Study on the relation between Teachers' Organizational Commitment to Change and their Acceptance and Use of an LMS in the UAE Applied Technology High Schools by Ayoub, Shadi

“…The importance of Learning Management Systems (LMSs) in teaching motivates schools to adopt them. …”
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Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

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The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

“…The implications of these findings could be significant in advancing patient care and improving therapeutic outcomes for individuals affected by dysarthria.…”

Neural Machine Translation for Arabic Language by Alkhatib, Manar

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Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network by Salman Saadat (17541654)

“…The results based on actual data collected from real-life WiFi deployment scenarios indicate significant improvement in coexistence performance and spectrum utilization of the unlicensed band with the proposed approach. …”

Intelligent Hybrid Feature Selection for Textual Sentiment Classification by Jawad Khan (6422669)

“…Researchers have also proposed feature extraction and selection techniques to reduce high dimensional feature space, but they fall short in extracting and selecting the most effective sentiment features for sentiment model learning. Effective feature extraction and selection are significant for the SA because they can boost the learning algorithm’s predictive performance while reducing the high-dimensional feature space. …”

Factors affecting university image among undergraduate students: the case study of qatar university by Khalifa Alhaza (21259496)

Automated quantification of penile curvature using artificial intelligence by Tariq O. Abbas (11247771)