Search alternatives:
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
models optimization » model optimization (Expand Search), process optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
based models » based model (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary task » binary mask (Expand Search)
task based » risk based (Expand Search)
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Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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Bayesian Optimization Methods for Nonlinear Model Calibration
Published 2025“…This work develops and compares seven Gaussian process Bayesian optimization (GPBO) methods for calibrating nonlinear models. …”
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Comparisons between ADAM and NADAM optimizers.
Published 2025“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …”
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Hyperparameter optimization results.
Published 2024“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”
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Optimized system structure.
Published 2023“…Secondly, the technologies and functions contained in the adolescent health Latin dance teaching system are described, including image acquisition, feature extraction, object detection, and action recognition. Finally, the action recognition algorithm is optimized based on object detection, and the rationality and feasibility of the proposed algorithm are verified by experiments. …”
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Fitness curves for each algorithm.
Published 2024“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”
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The Pseudo-Code of the IRBMO Algorithm.
Published 2025“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”
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Comparison of models.
Published 2025“…Finally, in order to verify the effectiveness of the EBWO algorithm, the EBWO algorithm was applied to three engineering problems and compared with other five swarm intelligent algorithms, and in order to verify the effectiveness of the EBWO-ResNet model, EBWO-ResNet was applied to maize disease identification,in order to improve the accuracy of corn identification and ensure corn yield,and the other seven models were compared based on three evaluation indexes. …”
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Cardiac Hypertrophy Computer-based model (CHCM) and the electrical LVH phenotypes.
Published 2021Subjects: -
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Genetic algorithm flowchart.
Published 2024“…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …”
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Flow chart of particle swarm algorithm.
Published 2024“…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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