Robotics & Machine Learning Daily News2024,Issue(Apr.23) :95-96.

Findings from Jaume I University Provides New Data about Machine Learning (Machi ne Learning-based Prediction Model for Battery Levels In Iot Devices Using Meteo rological Variables)

Robotics & Machine Learning Daily News2024,Issue(Apr.23) :95-96.

Findings from Jaume I University Provides New Data about Machine Learning (Machi ne Learning-based Prediction Model for Battery Levels In Iot Devices Using Meteo rological Variables)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news originatingfrom Castellon de la Plana, Spain , by NewsRx correspondents, research stated, “Efficient energymanagement is vit al for the sustainability of IoT devices employing solar harvesting systems, par ticularlyto circumvent battery depletion during periods of diminished solar inc idence. Embracing the structuredmethodology of CRISP-DM, this study introduces machine learning (ML) models that utilise meteorologicaldata to predict battery charge levels in solar-powered IoT devices.”

Key words

Castellon de la Plana/Spain/Europe/Cy borgs/Emerging Technologies/Machine Learning/Jaume I University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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