A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method حسب Amit Kumar Balyan (18288964)

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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm حسب Abdelbasset Krama (16870008)

"…Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. …"

On Optimizing Backoff Procedure to Enhance Throughput and Fairness For Wireless LANs حسب Al-Akeel, A.A.Mahmoud

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Minimizing using BBO and DFO methods حسب El Zeghondy, Jean

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On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints حسب Temadher A. Almaadeed (14151288)

"…Using the hyperplanes induced by the intersection of each pair of balls, we show that the optimal solution of QOBL can be found by solving several extended trust-region subproblems (e-TRS). …"

CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction حسب Khot, Mohammed Taha Shafiq

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Optimal design of power system stabilizers using evolutionary programming حسب Abido, M.A.

"…The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. …"
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AI-Aided Robotic Wide-Range Water Quality Monitoring System حسب Awwad, Ameen

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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications حسب Mohieddine Benammar (18103039)

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Optimality of first-order ILC among higher order ILC حسب Saab, Samer S.

"…Higher order iterative learning control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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Parametric Design Optimization in Sustainable Urban Design: In Hot Climate حسب Musleh, Mousa A. M.

"…This research employs Genetic algorithms as the computational design methodology to achieve parametric design optimization to design for a more sustainable cities and urban. …"
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A hybrid model for the optimum integration of renewable technologies in power generation systems حسب Poullikkas, Andreas

"…The main purpose of this work is to assess the unavoidable increase in the cost of electricity of a generation system by the integration of the necessary renewable energy sources for power generation (RES-E) technologies in order for the European Union Member States to achieve their national RES energy target. The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…The effectiveness of TRIZ optimization operators in MGWO is evaluated by investigating the convergence behavior of GWO with and without TRIZ optimization operators. …"
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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Economic load dispatch multiobjective optimization procedures usinglinear programming techniques حسب Farag, A.

"…This paper outlines the optimization problem of real and reactive power, and presents the new algorithm for studying the load shedding and generation reallocation problem in emergencies where a portion of the transmission system is disabled and an AC power solution cannot be found for the overloaded system. …"
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Fuzzy simulated evolution for power and performance optimization ofVLSI placement حسب Sait, Sadiq M.

"…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …"
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Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization حسب Alhadhrami, Esra Ebrahim

"…The Q value plays a crucial role in estimating future state values within a Kalman filter tracking system. Proximal Policy Optimization (PPO), a state-of-the-art policy optimization algorithm, was employed to determine the optimal Q value that enhances tracking performance, as measured by Root Mean Square Error (RMSE). …"
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