DRILL
发表于 2025-3-26 23:24:02
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恃强凌弱
发表于 2025-3-27 04:37:23
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Bravura
发表于 2025-3-27 05:54:20
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Monolithic
发表于 2025-3-27 09:40:52
https://doi.org/10.1007/978-3-030-50797-8rning models, i.e. multiple linear regression, artificial neural network, support vector machine and random forest. Finally, these models were compared to select the best model for prediction of biological oxygen demand using a set of indicators, i.e. coefficient of determination and root mean square error.
意见一致
发表于 2025-3-27 14:25:38
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laceration
发表于 2025-3-27 18:58:01
Soils in Harmony with the Environment,nd the GSA techniques. The simulation results confirm that the GSA exhibits more robust performance and accurate identification results as compared with the RGA and FIPSO methods which have been verified by using various quantitative metrics.
Compassionate
发表于 2025-3-27 22:03:47
,Moments of Vision — and After, a multi-agent system (MAS) approach for solving the FJSP. To optimize the results, genetic algorithm (GA) is also implemented with a multi-agent system. The proposed approach is evaluated by solving standard problem instances, and the results are promising.
色情
发表于 2025-3-28 04:13:51
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抱狗不敢前
发表于 2025-3-28 09:36:55
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Morsel
发表于 2025-3-28 11:16:29
https://doi.org/10.1007/978-3-030-50797-8sed method is trained and tested with the google speech command (GSC) dataset by considering eight speech commands. The experimental results demonstrate the efficiency and effectiveness of the proposed method for solving speech features-based classification problems like SCR.