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Titlebook: Artificial Intelligence of Things; First International Rama Krishna Challa,Gagangeet Singh Aujla,Kanika S Conference proceedings 2024 The

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發(fā)表于 2025-3-23 12:20:13 | 只看該作者
Comparative Analysis of Structural Characteristics of Social Networks and Their Relevance in Communianalyzed to produce different network statistics for a better understanding of their suitability for disjoint and overlapping community detection. The research paper also covers applications of community detection to motivate the researchers for exploring the possibility of using characteristics of
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發(fā)表于 2025-3-23 17:37:27 | 只看該作者
A Meta-data Based Feature Selection Mechanism to Identify Suspicious Reviews, various methodologies used for the selection of the optimal features are presented in the paper with the help of the amazon dataset. The target of this approach is to ensure the use of noise-free, relevant, non-redundant, optimal features of the dataset which will result in better predictions.
13#
發(fā)表于 2025-3-23 18:01:26 | 只看該作者
Rama Krishna Challa,Gagangeet Singh Aujla,Kanika S
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發(fā)表于 2025-3-23 23:25:56 | 只看該作者
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發(fā)表于 2025-3-24 02:37:32 | 只看該作者
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發(fā)表于 2025-3-24 08:03:15 | 只看該作者
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發(fā)表于 2025-3-24 11:37:22 | 只看該作者
18#
發(fā)表于 2025-3-24 15:38:11 | 只看該作者
https://doi.org/10.1007/978-1-4471-0347-9alue of ±0.2014% while blue light shows the highest percentage error in diameter measurement as ±0.6320%. However, the green light measurement method has a moderate percentage error in diameter measurement with a percentage error of ±0.5528%.
19#
發(fā)表于 2025-3-24 22:48:18 | 只看該作者
https://doi.org/10.1007/978-1-4471-0347-9ploy a simple method to create our own SVM classifier with a Gaussian component that can recognize eyes in grayscale photos as the first step towards a part-based face identifier. The architecture of an iterative bootstrapping method is discussed in detail, and we show how choosing boundary values w
20#
發(fā)表于 2025-3-25 02:39:47 | 只看該作者
https://doi.org/10.1007/978-3-319-03047-0luster the network and choose the appropriate cluster heads. The Modified PSO-based Energy-Efficient Clustering Routing Protocol (PSO-EECRP) of a network is an essential criterion for extending the network’s life span. Numerous factors are taken into account for the proposed approach’s energy effici
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