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Titlebook: Artificial Intelligence Techniques for Advanced Computing Applications; Proceedings of ICACT D. Jude Hemanth,G. Vadivu,Valentina Emilia Bal

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,Introduction: Children’s Suffrage Studies, that households should attempt to stick to on a monthly basis and provides reminders for the same. The users can regulate the flow of water from water faucets directly using the application and data about the water used by the people can be stored in a database.
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Methods for Epileptic Seizure Prediction Using EEG Signals: A Survey,nals and electroencephalogram (EEG). This paper focuses on the different methods and models used to predict seizure from EEG signals to lessen the burden on patients because of the unpredictable nature of seizures. Furthermore, it also gives insights about deep learning approaches used to predict epilepsy using the EEG signals.
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Feature Selection Strategy for Academic Datasets Using Correlation Analysis, are many techniques for selecting the right features in data mining. A new methodology for selecting features based on correlation is proposed in this paper. Results prove that the features selected by correlation analysis increase the accuracy of the data mining models built.
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https://doi.org/10.1007/978-1-4302-0352-0ulate the kernel in the operating system and classifies the different attacks based on their types. It also discusses the currently existing techniques to prevent kernel attacks and their characteristics.
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https://doi.org/10.1007/978-1-4302-0352-0ystem will be implemented using Ethereum protocol. It uses elliptic curve cryptography to provide authentication and non-repudiation, immutability of vote records through hashing algorithms, transparency, and accessibility due to its decentralized nature as well as voter anonymity.
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https://doi.org/10.1007/978-1-4302-0352-0ecision tree algorithm, Baum–Welch algorithm, unsupervised word segmentation algorithm, etc., none of these studies consider memory optimization technique. Therefore, in this study, we propose and endeavor to implement our own rule-based parts of speech tagging mechanism with an intent to achieve higher accuracy by optimizing memory overhead.
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