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Titlebook: Bio-Inspired Computing: Theories and Applications; 16th International C Linqiang Pan,Zhihua Cui,Lianghao Li Conference proceedings 2022 Spr

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發(fā)表于 2025-3-21 17:48:01 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bio-Inspired Computing: Theories and Applications
期刊簡稱16th International C
影響因子2023Linqiang Pan,Zhihua Cui,Lianghao Li
視頻videohttp://file.papertrans.cn/187/186345/186345.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Bio-Inspired Computing: Theories and Applications; 16th International C Linqiang Pan,Zhihua Cui,Lianghao Li Conference proceedings 2022 Spr
影響因子?This two-volume set (CCIS 1565 and CCIS 1566) constitutes selected and revised papers from the?16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021.?.The 67 papers presented were thoroughly reviewed and selected from 211 submissions. The papers are organized in the following topical sections: ?evolutionary computation and swarm intelligence; DNA and molecular computing; ?machine learning and computer vision..
Pindex Conference proceedings 2022
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發(fā)表于 2025-3-21 20:47:12 | 只看該作者
Software Defect Prediction Based on SMOTE-Tomek and XGBooste introduce a classification model that combines SMOTE-Tomek sampling and ensemble learning algorithm XGBoost. Our initial experimental results on ten NASA software defect datasets indicate a clear superiority of the proposed techniques when compared to other hybrid model regarding various assessment metrics, such Accuracy, F-Measure, and AUC.
板凳
發(fā)表于 2025-3-22 00:55:22 | 只看該作者
地板
發(fā)表于 2025-3-22 05:07:39 | 只看該作者
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發(fā)表于 2025-3-22 11:58:20 | 只看該作者
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發(fā)表于 2025-3-22 14:30:12 | 只看該作者
Schiffbautechnische Gesellschafte introduce a classification model that combines SMOTE-Tomek sampling and ensemble learning algorithm XGBoost. Our initial experimental results on ten NASA software defect datasets indicate a clear superiority of the proposed techniques when compared to other hybrid model regarding various assessment metrics, such Accuracy, F-Measure, and AUC.
7#
發(fā)表于 2025-3-22 20:32:13 | 只看該作者
Schiffbautechnische Gesellschaftionary algorithm. The proposed method is tested on both synthetic and real-world networks and compared with some existing algorithms. Experimental results show that employing the constructed surrogate networks can effectively improve the community detection efficiency.
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發(fā)表于 2025-3-22 23:29:32 | 只看該作者
Communications in Computer and Information Sciencehttp://image.papertrans.cn/b/image/186345.jpg
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發(fā)表于 2025-3-23 02:50:15 | 只看該作者
https://doi.org/10.1007/978-981-19-1253-5artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
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發(fā)表于 2025-3-23 07:06:43 | 只看該作者
978-981-19-1252-8Springer Nature Singapore Pte Ltd. 2022
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