Titlebook: Sustainable Advanced Computing; Select Proceedings o Sagaya Aurelia,Somashekhar S. Hiremath,Saroj Kr. B Conference proceedings 2022 The Edi

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ECG-Based Personal Identification Systemnals can be used for identifying individuals and diagnosis of diseases. Also, it makes easier to miniaturize measuring devices related to other biosignals. In this paper, a fiduciary approach to ECG-based personal identification system (ECGPIS) is proposed. The method proposed consists of data colle

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Holistic Recommendation System Framework for Health Care Programs sources, monitor the trend of disease outbreak, initiate actions, and detect the response for further course of action. The main components for implementing such programs are integration and decentralization of surveillance activities at the zonal, and subzonal levels, developing and deploying huma

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A Synthetic Data Generation Approach Using Correlation Coefficient and Neural Networksucted to show that if we have sufficient high amount of data, even simple models perform with great accuracy when used at very complex tasks. Having more data, both in terms of examples or more features, is fortunate. The availability of data enables more better insights and applications. More data

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Machine Learning Based Consumer Credit Risk Predictionor it. Credit risk (CR) points out to the possibility of the cost incurred because of a borrower’s default to pay their loans on time. Management of risks related to credit is the procedure of minimizing the losses by the prior knowledge of the bank’s capital and loss of loan reserves during any spe

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Hate Speech Detection Using Machine Learning Techniquesreasing use of such media to disseminate hate speech to individuals or groups of persons, communities, or race. Therefore, without detection and hate speech analysis, it is impossible to believe that there is not any malicious information on social media. This paper strives to provide a survey of ha