Estimating Homophily in Social Networks Using Dyadic Predictions حسب George Berry (5807582)

Fluoroscopic 3D Images Generation Using A GAN Method حسب Alshrbaji, Mohammad Nabeel Mohammad

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A Thesis in the Use of Computer Assisted Language Learning in a Whole Language Contest حسب Ward, Jason

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A lightweight neural network with multiscale feature enhancement for liver CT segmentation حسب Mohammed Yusuf Ansari (16904523)

Academic networking. (c2012) حسب Jammal, Belal

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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis حسب Uzair Shah (15740699)

Probabilistic AutoRegressive Neural Networks for Accurate Long-Range Forecasting حسب Panja, Madhurima

"…While numerous statistical and machine learning methods have been proposed, real-life prediction problems often require hybrid solutions that bridge classical forecasting approaches and modern neural network models. …"
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An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control حسب Mahmoud Dahmani (18810247)

Artificial neural networks for predicting the performance of novice CAD users based on their profiled technical attributes حسب Ammouri, A.H.

"…This paper utilizes Artificial Neural Networks (ANN) to forecast the mechanical CAD performance of novice trainees involved in formal training. …"
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Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration حسب Snigdha Mohanty (16904919)

COVID-19 infection localization and severity grading from chest X-ray images حسب Anas M. Tahir (16870077)

"…An extensive set of experiments was performed using the state-of-the-art segmentation networks, U-Net, U-Net++, and Feature Pyramid Networks (FPN). …"

Hydrogen Sulfide (H₂S) Sensor: A Concept of Physical Versus Virtual Sensing حسب Ahmed Alsarraj (16876014)

"…The merits of the proposed system are as follows: 1) a virtual sensing concept is combined with a physical sensing platform to enhance the proposed model’s estimation power in quantifying H₂S in air samples; 2) a new feature extraction method based on fractional derivatives is proposed to further enhance the model’s learning capabilities; 3) an array of four gas sensors is fabricated in the in-house foundry to record and analyze the signature of H₂S at various concentration levels; 4) a shallow neural network (NN) model is trained and tested on the recorded data, and based on the NN’s input–output relation, a mathematical model is presented for the quantification of H₂S; and 5) the proposed model is a highly sensitive and reliable H₂S gas sensing scheme with the ability to detect the gas instantaneously. …"

Use of mobile devices in mathematics education: A case of higher education in the United Arab Emirates حسب DANI, ANITA

"…Cross sectional survey method was applied for collecting quantitative data. …"
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Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma حسب Rawan AlSaad (14159019)

"…In this paper, we build upon the contextual decomposition (CD) method, an algorithm for producing importance scores from long short-term memory networks (LSTMs). …"

Cyber-risk Mitigation Strategies and the Role of Artificial Intelligence in Mitigating Cyber-Risks: The Case of the United Arab Emirates Transport Sector حسب ALYAMMAHI, ALI SAEED ALI AHMED

"…The research employed a quantitative method, a survey questionnaire, which was completed by 286 participants. …"
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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation حسب Alhusari, Khaldoon

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An Overview on XML Semantic Disambiguation from Unstructured Text to Semi-Structured Data: Background, Applications, and Ongoing Challenges حسب Tekli, Joe

"…Third, we describe current and potential application scenarios that can benefit from XML semantic analysis, including: data clustering and semantic-aware indexing, data integration and selective dissemination, semantic-aware and temporal querying, web and mobile services matching and composition, blog and social semantic network analysis, and ontology learning. Fourth, we describe and discuss ongoing challenges and future directions, including: the quantification of semantic ambiguity, expanding XML disambiguation context, combining structure and content, using collaborative/social information sources, integrating explicit and implicit semantic analysis, emphasizing user involvement, and reducing computational complexity.…"
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