بدائل البحث:
sampling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
sampling algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
منشور في 2024"…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"
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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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Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms
منشور في 2022"…One of the major downfalls of the LULC technique is inherently linked to its need for ground truth data to cross-validate maps. This paper aimed at evaluating the efficiency of machine learning (ML) in limiting the use of ground truth data for LULC maps. …"
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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
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Predicting Dropouts among a Homogeneous Population using a Data Mining Approach
منشور في 2019الموضوعات: احصل على النص الكامل
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Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022الموضوعات: "…orthogonal learning (OL)…"
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Bootstrap-based Aggregations and their Stability in Feature Selection
منشور في 2022احصل على النص الكامل
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
منشور في 2022الموضوعات: "…Data clustering…"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
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