Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…In this study, I conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM, CNN-BILSTM-LSTM, and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. …"
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. All possible combinations of the 10 best ranked features were used to generate SVM based prediction models. …"

UML-based regression testing for OO software حسب Mansour, Nashat

"…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
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Novel biomarkers for potential risk stratification of drug induced liver injury (DILI) حسب Mohammed Ibn-Mas’ud Danjuma (13192169)

"…</p><h3>Methods:</h3><p dir="ltr">We explored PUBMED and all other relevant databases for scientific studies that explored potential utility of novel biomarkers of DILI, and subsequently carried out a narrative synthesis of this data. …"

Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace حسب Shahid, Saif Mohammad

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Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…We searched Embase, PubMed, Scopus, and Google Scholar to retrieve relevant studies. After pre-processing and screening, we extracted data from 34 studies that fulfilled the inclusion criteria. …"

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba Sulaiman (17734065)

"…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. …"

Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

"…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …"
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Face Flow: Constrained Optical Flow Framework for Faces حسب Alkaddour, Muhannad

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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Armin, Amindari

"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling حسب Amindari, Armin

"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations حسب Ayman Al-Kababji (16870080)

"…Hence, in this paper, we survey the key studies that are published between 2014 and 2022, showcasing the different machine learning algorithms researchers have used to segment the liver, hepatic tumors, and hepatic-vasculature structures. …"

Common weaving approach in mainstream languages for software security hardening حسب Alhadidi, Dima

"…Finally, we explore the viability and the relevance of our propositions by applying the defined approach for systematic security hardening to develop case studies.…"
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