Simultaneous stabilization of multimachine power systems viagenetic algorithms حسب Abdel-Magid, Y.L.

"…This paper demonstrates the use of genetic algorithms for the simultaneous stabilization of multimachine power systems over a wide range of operating conditions via single-setting power system stabilizers. …"
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Evolutionary algorithms for VLSI multi-objective netlist partitioning حسب Sait, Sadiq M.

"…A series of experiments are performed to evaluate the efficiency of the algorithms. ISCAS-85/89 benchmark circuits are used and experimental results are reported and analyzed to compare the performance of GA, TS and SimE. …"
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An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis حسب Harmanani, Haidar

"…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …"
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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. …"
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A Comparative Study of Elgamal Based Cryptographic Algorithms حسب Haraty, Ramzi A.

"…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …"
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Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review حسب Yazeed Yasin Ghadi (16667109)

"…Moreover, this study also addresses issues of adapting machine learning algorithms to accommodate the sensors’ functionalities in the network configuration. …"

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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AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics حسب Naila Rabbani (291722)

"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. …"

Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

"…This paper demonstrates the use of genetic algorithms to design a single output feedback control law for the simultaneous eigenvalue placement of a power system running over a wide range of operating conditions. …"
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Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures حسب Leduc, Guillaume

"…We develop a semi-analytical method to determine the price of European options on these energy futures, involving the derivation of the characteristic function for the energy futures' dynamics. To determine the parameters of the regime switching model and identify when economic states change, we employ the EM algorithm, utilizing real gas futures price data. …"
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A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

"…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

"…A series of experiments are performed to evaluate the efficiency of the algorithm. ISCAS-85/89 benchmark circuits are used and experimental results are reported and compared to earlier algorithms like GA and TS.…"
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

"…The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …"
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A comparative study of RSA based digital signature algorithms حسب Haraty, Ramzi A.

"…After factorization is found, the RSA problem could be solved by finding the private key using the extended Euclidean algorithm.…"
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…<h3>Background</h3><p dir="ltr">Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. …"

Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy حسب El-Ferik, S

"…Numerical results are provided to illustrate both the use of the algorithm in the study of the optimal cost function and the latter's sensitivity to different changes in cost factors. …"
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Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems حسب Tabbara, Mazen R.

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A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

"…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"

Metaheuristic algorithm for testing web 2.0 applications. (c2012) حسب Zeitunlian, Hratch Michel

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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…The measurements and track generation are simulated using Stone Soup software. On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …"
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