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

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A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

"…A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …"
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Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications حسب Estahbanati, Shahabeddin Vamegh

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Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

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Information reconciliation through agent controlled graph model. (c2018) حسب Saba, Rita

"…Multiple models have been proposed and different techniques and data structures were used. …"
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Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

"…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
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Development of Lévy flight-based reptile search algorithm with local search ability for power systems engineering design problems حسب Abu Zitar, Raed

"…The superiority of the proposed Lévy flight-based reptile search and Nelder-Mead (L-RSANM) algorithm-based PID controller for the AVR system is demonstrated comparatively using convergence, statistical and nonparametric tests along with transient and frequency responses. …"
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Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …"
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Intelligent Fusion of Deep Features for Improved Waste Classification حسب Kashif Ahmad (12592762)

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Parametric Estimation From Empirical Data Using Particle Swarm Optimization Method for Different Magnetorheological Damper Models حسب Asan G. A. Muthalif (16888818)

A Tabu Search algorithm for mapping data to multicomputers. (c1997) حسب Diab, Kamal M.

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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Consequently, scholars have begun to focus on document classification problem, offering various methods to address this issue. Researchers have utilized diverse data sources, such as citations, metadata, content, and hybrids, in their approaches.In these sources, the meta-data-based approach stands out for research paper classification due to its availability at no cost. …"

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

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A method for data path synthesis using neural networks حسب Harmanani, H.

"…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
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Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

"…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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Design of adaptive arrays based on element position perturbations حسب Dawoud, M.M.

"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …"
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