首页|Findings from Federal University Update Knowledge of Machine Learning (Discrimin ation of Ingestive Behavior In Sheep Using an Electronic Device Based On a Triax ial Accelerometer and Machine Learning)
Findings from Federal University Update Knowledge of Machine Learning (Discrimin ation of Ingestive Behavior In Sheep Using an Electronic Device Based On a Triax ial Accelerometer and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from Juazeiro, Brazil, by N ewsRx journalists, research stated, “Avaluating ingestive behavior iscrucial fo r making decisions about animal management; however, direct observation can be l aborious,time-consuming, and exhaustive for the observer. In this context, the development of measurement devicescoupled with computational methods to reliabl y discriminate animal behavior and identify an appropriatesampling frequency fo r battery autonomy without compromising precision is important.”
JuazeiroBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University
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