ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation حسب Said Mahfoud (17150968)

"…The new combined ACO-DTC strategy has been studied for optimizing the gains of the PID controller by using a cost function such as Integral Square Error (ISE). …"

An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

"…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …"

An Adapted Load-Balancing implementation for Sharded Blockchains حسب Daou, David Halim

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Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems حسب Agushaka, Jeffrey O.

"…The performance of the IDMO, using different performance metrics and statistical analysis, is compared with the DMO and eight other existing algorithms. …"
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A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network حسب Fareed Ahmad (134672)

Second-order conic programming for data envelopment analysis models حسب Mourad, Nahia

"…Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …"
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Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery حسب Al Rayes, Zaid

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Simultaneous stabilisation of power systems using geneticalgorithms حسب Abdel-Magid, Y.L.

"…The paper considers the simultaneous stabilisation of a power system over a wide range of operating conditions via a single power system stabiliser using genetic algorithms. A power system operating at various load levels is treated as a finite set of plants. …"
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Neural Networks as a Convex Problem حسب Khalil, Baha

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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. …"

Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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Contingency analysis of bulk power system using neural networks حسب Maghrabi, H.

"…Radial basis function networks (RBFNs) are used for the contingency evaluation of bulk power systems. …"
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Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

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A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems حسب Kandil, Sarah M.

"…A sample case study is presented to illustrate the performance of the algorithm.…"
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Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. …"

Modelling Exchange Rates during Currency Crisis using Neural Networks حسب Nasr, G. E.

"…This paper presents an artificial neural network (ANN) approach to the forecasting of exchange rate movements during periods of currency crises characterized by excessive volatility. The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …"
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Optimal design of power-system stabilizers using particle swarm optimization حسب Abido, M.A.

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

"…For the first optimization scenario, distribution-free analysis showed that at intermediate function evaluation budgets, detectable differences emerge among algorithms, whereas in the second scenario, these differences diminish at higher evaluation budgets (with no significant pairwise contrasts), indicating convergence. …"

Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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Intelligent Bilateral Client Selection in Federated Learning Using Game Theory حسب Wehbi, Osama

"…To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …"
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