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

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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

"…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …"

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…First, a text mining algorithm is proposed for extracting concepts and their semantic relations from text documents. …"
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

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

"…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …"
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Evaluation of Aerosol Optical Depth and Aerosol Models from VIIRS Retrieval Algorithms over North China Plain حسب Jun Zhu (84054)

"…In this study, the AOD and aerosol model types from these two VIIRS retrieval algorithms over the North China Plain (NCP) are evaluated using the ground-based CE318 Sunphotometer (CE318) measurements during 2 May 2012–31 March 2014 at three sites. …"

Formal synthesis of VLSI layouts from algorithmic specifications حسب Sait, Sadiq M.

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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)

"…The validation of the algorithm is attained by comparing the resulting modified Bouc-Wen model behaviour using PSO against the same model's behaviour, identified using Genetic Algorithm (GA). …"

Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach حسب S. Punitha (17945654)

A genetic-based algorithm for fuzzy unit commitment model حسب Mantawy, A.H.

"…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …"
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Combining and adapting software quality predictive models by genetic algorithms حسب Azar, D.

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Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms حسب ALSHEHHI, OMAR KHALID HAMAD

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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning حسب Far, Reza Davoodi

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An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…Nonetheless, they can be derived from other measurable attributes. For this purpose, software quality prediction models have been extensively used. …"
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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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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) حسب Korkmaz, Rita

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Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

"…The results suggest that the proposed algorithm, the optimal Kalman filter, performs well in modeling acoustically activated drug release from liposomes.…"
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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

"…The reported accuracy dramatically outperforms the previous algorithms, including gradient tree boosting (GTB), random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and linear discriminant analysis (LDA). …"

Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound حسب Abdel-Hafez, Mamoun

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