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

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https://doi.org/10.1007/978-3-658-13020-6extract features. Following to it, classifier deployment, training and assessment were carried out. Metrics for evaluation are used to gauge classifier accuracy. MultinomialNB (MNB) fared best in the field of Bag-of-words features among the three classifiers used to evaluate the accuracy, but Random

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FTC Configurations for Nonlinear Systems,analyzed 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

結(jié)合

FTC Configurations for Nonlinear Systems,, 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.

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First-Order Sliding Mode Concepts,rivate data to remain locally. In this work, different categories of federated learning have been discussed. A review of various systems implementing FL for IoV has been presented followed by the applications and challenges of FL in the IoV paradigm. The paper concludes by providing future research directions for FL in the IoV.

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