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Titlebook: Advances in Intelligent Computing; J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay Book 2019 Springer Nature Singapore Pte Ltd. 2019 Co

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發(fā)表于 2025-3-21 17:14:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Intelligent Computing
影響因子2023J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay
視頻videohttp://file.papertrans.cn/149/148480/148480.mp4
發(fā)行地址Discusses computational intelligence and business analytics in computer science and engineering.Encompasses the latest technological developments from an inter- and intra-disciplinary perspective.Pres
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Advances in Intelligent Computing;  J. K. Mandal,Paramartha Dutta,Somnath Mukhopadhyay Book 2019 Springer Nature Singapore Pte Ltd. 2019 Co
影響因子.This edited volume on computational intelligence algorithms-based applications includes work presented at the International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA 2017). It provides the latest research findings on the significance of computational intelligence and related application areas. It also introduces various computation platforms involving evolutionary algorithms, fuzzy logic, swarm intelligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications..
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Commonality, Specificity, and Differenceapplied with PFCM to maximize the probability of PU detection (.) under the constraint of a target false alarm probability (.). The present work also evaluates the required power consumption during CSS by SUs. The proposed technique improves . by . and decreases average energy consumption by . over
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Book 2019ligence, artificial neural networks and several other tools for solving real-world problems. It also discusses various tools that are hybrids of more than one solution framework, highlighting the theoretical aspects as well as various real-world applications..
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Traffic Offloading in Heterogeneous Networksion levels of genes with a specified gene is less than a threshold t in each experimental condition; otherwise, the specified gene is marked as functionally inactive or noise. The proposed method is applied on 10 yeast gene expression data, and the result shows that it performs well over existing one.
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