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Titlebook: Artificial Intelligence; First International Arif Ahmed Sk,Turki Turki,Subhabrata Barman Conference proceedings 2022 The Editor(s) (if app

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發(fā)表于 2025-3-21 19:19:33 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Intelligence
期刊簡稱First International
影響因子2023Arif Ahmed Sk,Turki Turki,Subhabrata Barman
視頻videohttp://file.papertrans.cn/163/162066/162066.mp4
學科分類Communications in Computer and Information Science
圖書封面Titlebook: Artificial Intelligence; First International  Arif Ahmed Sk,Turki Turki,Subhabrata Barman Conference proceedings 2022 The Editor(s) (if app
影響因子This book constitutes the refereed proceedings of the First International Symposium on Artificial Intelligence, ISAI 2022, held in Haldia, India, during February 17-22, 2022.?.The 30 full papers included in this book were carefully reviewed and selected from 75 submissions. They were organized in topical sections as follows: information systems, mathematics and data analyses;?and applied artificial intelligence....
Pindex Conference proceedings 2022
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書目名稱Artificial Intelligence影響因子(影響力)




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書目名稱Artificial Intelligence網(wǎng)絡公開度




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書目名稱Artificial Intelligence被引頻次學科排名




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Some Determinants of Endogenous Growth search method is used in this problem. Here, the comparison has been made between PID controller tuned with different standard classical methods along with fuzzy PID (FPID) and proposed genetic algorithm based adaptive PID control (GAPID) technique. It has been found that better response is obtaine
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Anomaly Detection in?IoT Using Extended Isolation Forestators, including accuracy, precision, recall, and F1-Score, are used to validate the performance of our suggested system. We get an Accuracy Score of 93% and F1-Score of 96% through the experiment. In addition, the most important top 12 features have a more substantial impact on correct prediction f
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A Novel Dimensionality Reduction Strategy Based on?Linear Regression with?a?Fine-Pruned Decision Treon error. The effect of the complexity parameter on the number of nodes and the depth of the tree is discussed. The fine pruned tree is trained and validated on the CIC-IDS2017 dataset. The proposed work’s results are compared to the Random Forest(RF), Logistic Regression (LR) and Gradient boosting(
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