Combined cycle gas turbine system optimization for extended range electric vehicles حسب Barakat, Aya A.

"…This study presents a methodology for the design and optimization of the most optimal combined cycle system configuration, suitable to replace the engine in a series-hybrid extended-range electric vehicle, and investigates its potential fuel savings. …"
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Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints حسب Bashar Hassna (19170940)

"…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …"

Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

"…This study offers a thorough examination of how AI can be utilized to enhance e-learning results by employing advanced predictive methods and performance optimization strategies. The main goals consist of creating an AI-based framework to monitor and analyze student interactions, evaluating the influence of online learning platforms on student understanding using advanced algorithms, and determining the most efficient methods for blended learning systems. …"

Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads حسب Yazdavar, Ameen H.

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Optimal Dispatch of Mobile Energy Storage Unit to Support EV Charging Stations حسب Elmeligy, Mohamed Mostafa Abdelazim

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Opportunistic Throughput Optimization in Energy Harvesting Dynamic Spectrum Sharing Wireless Networks حسب Amirhossein Taherpour (19273879)

"…Furthermore, we propose two algorithms designed to achieve optimal throughput for each scenario. …"

A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

"…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"

Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy حسب Haitao Xu (435549)

"…Therefore, this study investigates the effect of optimization algorithms on the prediction accuracy of the multilayer perceptron neural networks (MLPNNs). …"

Fuzzy genetic algorithm for floorplanning حسب Youssef, H.

"…Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. …"
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Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids حسب Anas Karaki (17947808)

"…The results highlight the computational capabilities of the decentralized EGT algorithm in optimizing battery scheduling and effectively mitigating price fluctuations for SGCs with increasing prosumer participation.…"

LOCATING DAMAGES IN THIN ALUMINIUM PLATES USING LAMB WAVES AND AGENETIC OPTIMIZATION APPROACH حسب A. Masurkar, Faeez

"…A new damage localization method based on Lamb waves is presented here for thin aluminium (Al) plate specimens using a Genetic optimization (GO) approach. Two different types of damages are considered to demonstrate the effectiveness of the proposed method and its practical applicability. …"
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance حسب Mohammed Hamidat (3722086)

"…SC is selected for its ability to handle parametric and nonparametric uncertainties, offering a robust solution that ensures fast response times and asymptotic stability across varying operating conditions. To optimize parameter tuning within the control system, the Grasshopper Optimization Algorithm (GOA) is applied, ensuring optimal performance of the proposed framework. …"

Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids حسب Alshaal, Dima

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Four quadrant robust quick response optimally efficient inverterfed induction motor drive حسب Islam, S.M.

"…A new approach for controlling the speed of an inverter-fed induction motor which operates with variable flux for high-efficiency purposes is presented. An optimal efficiency calculator provides optimum flux and torque producing current, while a supervisory control eliminates the intricate boot-strap effect of the flux-torque loop. …"
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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan حسب Ghulam Abbas (764241)

"…<p dir="ltr">Assessing and effectively optimizing wind power potential for a wind site demands accurate calculation of Weibull parameters. …"

Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization حسب Mohammed Al-Khawaja (17093017)

"…Among 43 investigated refrigerants, R1234ze(E) has higher efficiency, lower Pumping Work Ratio (PWR), and requires a smaller size of the heat exchangers. Using the genetic algorithm optimization method with R1234ze(E) as working fluid in both power and cooling loops, a maximum power loop efficiency of 6.3% and COP of 5.3 were obtained at a high pressure of 29 bar (in the power loop) with minimal expander diameter of 64, compressor diameter of 171 mm, and 18 expander-compressor units.…"

Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures حسب Iryna Haponchyk (19691701)

Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

"…A comparative evaluation of three FL algorithms (FedAvg, FedProx, Mime-lite) identifies the most suitable aggregation strategy. …"