Titlebook: Electronic Systems and Intelligent Computing; Proceedings of ESIC Pradeep Kumar Mallick,Akash Kumar Bhoi,Prasant Kum Conference proceeding

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https://doi.org/10.1007/978-3-319-64394-6t a large database of fingerprints. Data preparation is one of the very important tasks of research work. Unless we build a quality database, we cannot ensure quality output from the model developed to achieve the objectives of this research. Hence, in this chapter, we fully gave our attention to th

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Virtual Reality for Marketing Research,m. These human disorders can be well diagnosed using emerging machine learning and soft computing techniques. Here, different behavioral disorders, their symptoms, and associated consequences have been identified and summarized. The key intention of this work is to highlight the applications of mach

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Risiken, Risikoanalyse und Bilanzschutz,s innovative applications, Non-Intrusive Load Monitoring (NILM) is one such application that goes beyond remote and precise billing. The NILM has been a popular and growing methodology for monitoring the energy profile of a household building and disaggregating overall power consumption into individ

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Madhurama Sethi,D. S. Bundela,Rajkumarrs affecting e-learning through gamification. The study further elaborates the outcomes of the e-learning through gamification. Due to extensive use of gamification, it becomes imperative to study and understand different aspects of it to bring in innovation into it. Secondary data has been put to u

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Die Stadt und die Nachhaltigkeit, homes rely on the use of smartphones, and other devices by means of social media and online news publishing websites so as to gain thorough insights into various topics of public interest. However, due to this very convenience, since there exists a large plethora of articles published, the human ju

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https://doi.org/10.1007/978-3-030-81986-6In the domain of fake news analysis, our main focus is to help the users to understand whether news is true or fake. The existing models present in the market analyze news based on the text or some time by fact checking in the Internet. These types of model are very time-consuming. Our model is desi

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