A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem by Mantawy, A. H.

“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. …”
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A simulated annealing algorithm for fuzzy unit commitment problem by Mantawy, A.H.

“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. The uncertainties in the load demand and the spinning reserve constraints are formulated in a fuzzy logic frame. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem by Abu Zitar, Raed

“…This paper presents efforts to solve the multi-track measurement assignment problem in drone detection and tracking. …”
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Impact of Using the Self-Study Guide to Reduce the Negative Effects of Teachers’ Turnover on Students’ Performance: a Study Conducted in a Private American School in Abu Dhabi by FARAHAT, NESRINE

“…A mixed-approach (quantitative- qualitative) is used to detect the success of using the proposed Guide to solve the Turnover problem. Firstly, the study presents factors and consequences of Teachers’ Turnover with previously suggested solutions in case no qualified teachers are found. …”
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A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

“…This paper presents a fuzzy model for the unit commitment problem (UCP). The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. …”
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Machine Learning-based X-Ray Projection Interpolation for Improved 4D-CBCT Reconstruction by Ramesh, Jayroop

“…Transfer learning is a powerful approach that harnesses the ability to reuse pre-trained models in solving new problems. Methods: Several state-of-the-art pre-trained deep learning models, used for video frame interpolation, are utilized in this work to generate intermediary projections. …”
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Dynamic Layout Planning Using a Hybrid Incremental Solution Method by Zouein, Pierrette

“…Efficiently using site space to accommodate resources throughout the duration of a construction project is a critical problem. It is termed the “dynamic layout planning” problem. …”
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Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19 by Farid Kochakkashani (17876918)

“…The clustering technique reduced the size of the problem and the time required to solve the model considerably.…”

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

“…Due to the complexity of the problem, the combinatorial nature of the formulated problem, and the difficulty of obtaining the optimal solution using conventional optimization problems, we propose a lightweight meta-RL solution capable of solving the problem by learning the system dynamics. …”

Enhancement of Mobile Robot Navigation and Localization by Renawi, Abdulrahman M.

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The Impact of Designing Transdisciplinary STEAM Curriculum Using Authentic Assessment on Transforming Students Learning: A Case Study in UAE by ELSAYARY, AREEJ

“…The results of the study emphasize the importance that exposing students to the three types of learning while solving complex real-world problems collaboratively and self-assessing their learning has on transforming the students’ frames of reference. …”
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Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System by Abougharib, Arwa

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Apprenticeship. (c1997) by Tabbara, Shirine

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