بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
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121
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
122
Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review
منشور في 2019الموضوعات: -
123
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
124
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127
Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem
منشور في 2025"…<p dir="ltr">This paper addresses the Two-Stage Capacitated Facility Location Problem (TSCFLP), a challenging optimization problem with significant applications in supply chain network design. …"
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128
Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
منشور في 2005احصل على النص الكامل
article -
129
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130
Economic load dispatch using memetic sine cosine algorithm
منشور في 2022"…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. …"
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131
Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data
منشور في 2024"…The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). …"
احصل على النص الكامل
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132
A method for test scheduling using an evolutionary approach. (c2000)
منشور في 2000احصل على النص الكامل
احصل على النص الكامل
masterThesis -
133
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134
Predict Student Success and Performance factors by analyzing educational data using data mining techniques
منشور في 2022"…The research study is performed as experimental analysis and develop models from nine machine learning algorithms including KNN, Naïve Bayes, SVM, Logistic regression, Decision Tree, Random forest, Adaboost, Bagging Classifier, and voting Classifier. …"
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135
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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The effects of data balancing approaches: A case study
منشور في 2023"…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"