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Found 3 papers, 1 papers with code
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation
This study provides a bibliometric analysis of research literature on AI applications in predicting soil liquefaction.
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction
The prediction results of deep learning algorithms are compared with default hyperparameters and random search algorithms to confirm the efficacy of the genetic algorithm approach.
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study
In this study, classical methods, such as grid, random search and Bayesian optimization, and population-based algorithms, such as genetic algorithms and particle swarm optimization, are discussed in terms of the HPO.
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