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models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
time process » due process (Expand Search)
models optimization » level optimization (Expand Search), motor optimization (Expand Search), mongoose optimization (Expand Search)
time process » due process (Expand Search)
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
Published 2022“…The design is carried out based on the selection of the optimal model parameters using a search optimization algorithm called GridSearchCV. …”
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Enhancement of power system dynamic performance through an on-line self-tuning adaptive SVC controller
Published 2006“…Use of a self-tuning adaptive control algorithm as a supplementary controller for the SVC is presented in this article. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
Published 2022“…The effectiveness of these optimization algorithms is verified in terms of training, test, validation, and error analysis. …”
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
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