MACHINE LEARNING APPROACHES TO PREDICT AND DETECT EARLY-ONSET OF DIGITAL DERMATITIS IN DAIRY COWS USING SENSOR DATA

Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data

The present study aimed to employ machine learning algorithms based on sensor behavior data for (1) early-onset detection of digital dermatitis wr60 pressure tank (DD) and (2) DD prediction in dairy cows.Our machine learning model, which was based on the Tree-Based Pipeline Optimization Tool (TPOT) automatic machine learning method, for DD detectio

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The Missional congregation in the South African context

The term missional has come into use over the last years in the Dutch Reformed Church in South Africa and the Department of Science of Religion and Missiology of the Faculty of Theology at the University of Pretoria.This term refers to the role of the local congregation in the local community or communities skittles ornament and is used with, or in

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Enhancing the security in cyber-world by detecting the botnets using ensemble classification based machine learning

With various malware, botnets are the legitimate risk increasing against cybersecurity providing criminal operations like malware dispersal, distributed denial of service attacks, fraud clicking, phishing, and identification of theft.Existing techniques used for detection of botnet, which are suitable only for specific command of botnet and protoco

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