Titlebook: Advancements in Smart Computing and Information Security; Second International Sridaran Rajagopal,Kalpesh Popat,Sunil Bajeja Conference pro

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Identifying and Protecting User Accountss the forecasting of kidney diseases. The main goal of the study is to recognize CKD diseases at an earlier stage with the assistance of Machine Learning (ML) models like Linear Regression (LR), Support Vector Machine (SVM), and Multi-Layer Perceptron (MLP). In this study, models are designed with t

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Blockchain Driven Supply Chain Management-consuming nature of manual COD measurement, industries often neglect to check DO levels before disposing of waste. The proposed study seeks to forecast the COD of treated waste from a wastewater treatment plant by utilizing crucial data gathered by sensors from the initial waste. This approach ensu

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https://doi.org/10.1007/978-3-030-96154-1seases in cotton crops using machine learning and artificial neural networks. An article has thoroughly examined numerous machine learning algorithms and their uses in the field of agricultural disease for this goal. The study also shows how machine learning methods are used in the subject of agricu

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News Sentiment and Cryptocurrency Volatilityacy, Sensitivity and Specificity. From the results obtained the proposed U Net gives accuracy of about 97% to 98.4%, Sensitivity of about 88.3% to 91% and Specificity of about 93.2% to 94.6% respectively. The tool used for execution is Matlab.

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