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

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

Logistics Optimization Using Hybrid Genetic Algorithm (HGA): A Solution to the Vehicle Routing Problem With Time Windows (VRPTW) by Ayesha Maroof (17984053)

Data reductions and combinatorial bounds for improved approximation algorithms by 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 by 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 by 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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A direct algorithm for the parameterized face cover problem by 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 genetic algorithm approach for regrouping service sites by Mansour, Nashat

“…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. …”
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A Stochastic Newton-Raphson Method with Noisy Function Measurements by Saab, Khaled Kamal

“…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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A method for data path synthesis using neural networks by 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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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by 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. …”

A comparative study of regression testing methods. (c1996) by Baradhi, Ghinwa S.

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Three-phase simulated annealing algorithms for exam scheduling by 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) by Fakih, Khaled A.

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A hybrid graph representation for exact graph algorithms by 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 by Mansour, Nashat

“…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar (18560506)

“…The suggested method performs noticeably faster than many other methods currently in use, and in addition to offering the highest power, it can also use bidirectional power flow regulation in both constant and variable air conditions. …”

Decomposition method for solving a nonlinear business cycle model by Dibeh, Ghassan

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Solution of Fractional Differential Equations: Transform and Iterative Methods Approach by Alchikh, Razan Abdul Satar

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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

“…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …”