Towards the development of an integrated model for examining the determinants affecting the use of Queue Management Solutions in Healthcare by ALQUDAH, ADI AHMAD ALI

“…Therefore, this research has three main objectives. First, conducting a systematic review to address the research gaps in the existing literature and understand the extensively utilized acceptance models in healthcare and their related constructs. …”
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability by Iffa Afsa C M (22304104)

“…<p dir="ltr">Objective: Despite advancements in artificial intelligence (AI) for predicting cardiac arrest (CA) with multivariate time-series vital signs data, existing models continue to face significant problems, particularly concerning balance, efficiency, accuracy, and explainability. …”

On Equivalent Circuit Model-Based State-of-Charge Estimation for Lithium-Ion Batteries in Electric Vehicles by Fatma Ahmed (11084787)

“…A third-order equivalent circuit model is employed for the LIB based on electrochemical impedance spectra test results, with model parameters identified using a particle swarm optimization algorithm. …”

Computational modeling and assessment of novel irradiation-controlled geothermally cooled greenhouse in hot arid climates by Omer Abedrabboh (17346847)

“…Computational modeling involved developing a ray-tracing model and a heat transfer model for the proposed greenhouse. …”

Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

“…However, it does not account for the inaccuracies and uncertainties existing in the system, leading to sub-optimal temperatures. Therefore, this study proposes a comprehensive data-driven robust model predictive control framework for greenhouse temperature control and its energy utilisation assessment in the presence of uncertainties. …”

Porphyrin distribution after topical aminolevulinic acid in a novel porcine model of sebaceous skin by Tannous, Zeina

“…Apparently, time interval between ALA application and light exposure could be optimized for different uses of ALA-PDT. Lasers Surg. …”
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Developing a Hybrid Model for Network Planning in Abu Dhabi Distribution Company Subsidiary of Adwea by Al Haddabi, Aseya Mohammed

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A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions by Sarra Aloui (17337901)

“…Therefore, it is highly recommended to identify and develop accurate model inputs and testing data to optimize the SWAT performance.…”

Three-Stage Forward and Closed Loop Supply Chain Models Under Consignment Stock Partnership by Alkhatib, Osama

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

“…This type of model tuning over transfer learning provides a customized model for classification, highly optimized for a particular region. …”

Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

“…Logistic Regression demonstrated superior performance with the highest accuracy (93.3 %), F1 score (0.625), and ROC AUC (0.941) compared to other models.</p><h3>Conclusion</h3><p dir="ltr">Metabolomics data can effectively predict diabetes status, with logistic regression providing the optimal balance of performance and interpretability. …”

Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

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"A Tabu Search Approach for the Design of Variable Structure Load Frequency Controller Incorporating Model Nonlinearities" by Al-Hamouz, Z.

“…The proposed method formulates the design of VSC as an optimization problem and utilizes Tabu Search Algorithm (TS) to find the optimal settings of the controller. …”
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Individual Determinants Influencing the Acceptance and Use of Mobile Health Applications for Pandemic Management in the UAE by ALSHEHHI, SAEED ALI SAEED ZAID

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National-level resilience: Innovative framework for Energy-Water-Food nexus evaluation by Ammar M. Khourchid (19420621)

“…The framework utilizes a hybrid approach of network systems modeling and optimization models, integrating sectoral and dependency impacts to offer a comprehensive perspective on the interconnected resilience of EWF components. …”

MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model by Md Abrar Jahin (20108252)

“…<p dir="ltr">Accurate demand forecasting is vital for optimizing supply chain management and enhancing organizational resilience. …”

Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model by Nameer Ul Haq Qureshi (22224652)

“…The proposed approach GRU with Grid search showed better performances as compared to previously suggested Long Short Term Memory (LSTM) model. Moreover, Gated Recurrent Unit (GRU) with Grid Search showed significant improvement in sales demand forecasting accuracy when considering weather-related data subsets. …”

THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis by Mohammad Javad Saber (4334227)

“…Thus, developing accurate radio channel models that address these challenges is critical to ensure reliable communication. …”

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

“…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …”
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