Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…It was shown that such a model had comparable accuracy to that of EfficientNet-B3, however, with a significantly smaller number of parameters required by the B3 model. …”

Development and Validation of the Motivation for Tutoring Questionnaire in Problem-Based Learning Programs by Salah Eldin, Kassab

“…The scores from the 21-item questionnaire demonstrated acceptable fitness indices between the measurement model and the factor structure. Furthermore, the three tutoring motivation subscales demonstrated high internal consistency reliability, significantly correlated with each other and correlated with the self-rated tutoring skills scores. …”
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Effect of Qatar-based law amendment on pedestrians’ behavioral intentions: A PLS-SEM based analysis by Deepti Muley (6579293)

“…Based on 645 survey responses, a Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was used to verify quantitative relationships among law amendment, risk perception, safety effectiveness perception, and pedestrians’ behavioral intentions. …”

Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

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Investigate stakeholders’ perceptions of best practices of STEM education in the United Arab Emirates by MALAKA, SAWSAN

“…This study investigates stakeholder perceptions regarding STEM best practice in the UAE towards developing a STEM model. The data from this study in the UAE revealed that STEM practices are not common and require significant instruction for implementation. …”
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Open access of evidence‐based publications by Yammine, Kaissar

“…The open access model, where researchers can publish their work and make it freely available to the whole medical community, is gaining ground over the traditional type of publication. …”
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements by Mubarak A. Bidmos (14158851)

“…Here, we have used the top performing three ML classifiers as base learners and the predictions of these models were used as inputs to different machine learning classifiers as meta learners to make the final decision. …”

Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

“…A model of mobile game app success prediction based upon the game features values that are created proposed.…”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”

Rayyan—a web and mobile app for systematic reviews by Mourad Ouzzani (3618794)

“…The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. …”

Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models by Mahmoud A. Soliman (17346778)

“…<p dir="ltr">Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. …”

Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications by Abdallah Falah Mohammad Aldwekat (22457821)

“…</p><h3>Materials and methods</h3><p dir="ltr">An ensemble<u> species distribution modelling </u>approach, integrating regression-based and machine-learning algorithms (GLM, GBM, RF, MaxEnt), was used to project habitat suitability (Current time and by 2050, 2070, and 2090). …”

Characterization and Modeling of Damage in Steel at Different Strain Rates by Al-Himairee, Reem

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Non-Linear Modeling and Control of Unmanned Air Vehicle by Ramezani, Roozbeh Falah

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Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…The proposed IMPC technique is primarily based on the inverse of the conventional finite set model predictive control. …”

Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

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Novel algorithms for accurate DNA base-calling by Mohammed, Omniyah Gul

“…The results obtained demonstrate the potential of the proposed models for efficient and accurate DNA base-calling.…”
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Temporal fusion transformer-based prediction in aquaponics by Ahmet Metin (12832543)

“…Experimental results demonstrate significant improvements of the proposed model over baseline models in terms of MAE, MSE, and Explained Variance metrics considering one-hour sequences. …”

Novel platinum (II) and platinum (IV) complexes exhibit potent chemotherapeutic properties in breast and skin cancer models by Farah, Roudy

“…The chemotherapeutic potential was assessed in a DMBA-induced breast cancer model in rats as well as a DMBA/TPA-induced skin cancer model in mice. …”
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