Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link حسب Bayan Hussein (16904856)

Implementation of trust region methods in optimization. (c1998) حسب Hajj, Mohammed Omar

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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine حسب Debendra Muduli (20748758)

"…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …"

Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm حسب Abraham Marquez Alcaide (18582451)

"…The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. …"

Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

"…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"

Learning-Based Automatic Modulation Classification حسب Abdelmutalab, Ameen Elsiddig

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An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks حسب Mohammad Zain Ul Abideen (16904637)

"…These algorithms calculate the optimal HC based on six scenarios of annual load and DER generation profiles. …"

A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata حسب Siddiqui, Ansah Juned

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Mobile Robot Navigation in Dynamic Environments Using an Improved RRT* Approach حسب Mohammed, Hussein Ali

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Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework حسب Abu Farha, Yazan Mahmoud

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Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

"…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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