Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

الموضوعات: "…Data clustering…"

Predicting Dropouts among a Homogeneous Population using a Data Mining Approach حسب BILQUISE, GHAZALA

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

"…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

"…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …"
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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

الموضوعات:

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Web Based Online Hybrid Teaching Method of Network Music Course حسب Abu Zitar, Raed

"…In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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A method for the minimum coloring problem using genetic algorithms حسب Harmanani, Haidar

"…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …"
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Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…Hence, the accuracy of the models often deteriorates significantly when they are used to classify new data. This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† حسب Harmanani, Haidar

"…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …"
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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

"…Features of transmission line maintenance were used to increase accuracy of estimation. Algorithms were tested using the test power system IEEE39. …"
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Brain Source Localization in the Presence of Leadfield Perturbations حسب Momin, Rabiya Nakhat

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An algorithm for solving bond pricing problem حسب Dibeh, Ghassan

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Kernelization algorithms for the vertex cover problem حسب Abu-Khzam, Faisal N.

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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem حسب Haraty, Ramzi A.

"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

الموضوعات:

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

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"