Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems حسب Khaled Dhibi (16891524)

"…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. …"

Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…The CPR method is one of the most established techniques for reservoir simulations, but most research focused on solutions for Two-Point Flux Approximation (TPFA)-based discretizations that do not readily extend to our problem formulation. …"

Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... حسب Ali S. Alghamdi (12722891)

"…In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. The optimum capacity of EH equipment, including photovoltaic and wind renewable energy sources, a combined heat and power system (CHP), a boiler, energy storage, and electric vehicles is determined in the day-ahead market using the improved Fick’s law algorithm (IFLA), considering the energy profit maximization and also satisfying the linear network and hub constraints. …"

Performance Analysis of a Three-to-Five Phase Dual Matrix Converter Based on Space Vector Pulse Width Modulation حسب Khaliqur Rahman (10214098)

"…<p dir="ltr">In this paper, space vector pulse width modulation (SVPWM)-based algorithms for a five-phase open-end load fed from dual matrix converter (DMC) have been proposed. …"

Stability improvement of the PSS-connected power system network with ensemble machine learning tool حسب M.S. Shahriar (19517536)

"…The backtracking search algorithm (BSA) based proposed ensemble model is formed by combining three machine learning (ML) techniques, namely the extreme learning machine (ELM), neurogenetic (NG) system, and multi-gene genetic programming (MGGP). …"

GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

"…Web site schema detection and data extraction from the Deep Web have been studied a lot. …"
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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines حسب Ali, Mustafa

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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. …"

Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

"…We decompose the problem into three phases and propose simulated annealing algorithms for these phases. Hence, we refer to our solution methods as 3-phase simulated annealing (3PSA). …"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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A hybrid graph representation for exact graph algorithms حسب Abu-Khzam, Faisal N.

"…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …"
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Allocating data to distributed-memory multiprocessors by genetic algorithms حسب Mansour, Nashat

"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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A direct algorithm for the parameterized face cover problem حسب Abu-Khzam, Faisal N.

"…Recent improvements to face cover algorithms are based on the theory of fixed-parameter tractability and reductions to planar dominating set. …"
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A Stochastic Newton-Raphson Method with Noisy Function Measurements حسب Saab, Khaled Kamal

"…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …"
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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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Nested ensemble selection: An effective hybrid feature selection method حسب Kamalov, Firuz

"…The proposed feature selection algorithm differs from the existing filter-wrapper hybrid methods in its simplicity and efficiency as well as precision. …"
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Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
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A novel linear time corner detection algorithm حسب Sarfraz, M.

"…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …"
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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
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Decomposition method for solving a nonlinear business cycle model حسب Dibeh, Ghassan

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