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A decision-support, modeling tool is developed that can project future cattle growth patterns in a feedlot based on a low dimensionality dataset available at the start of the feeding process. This work adapts the predictive performance of two well-known statistical machine modeling tools, gradient boosting and random forest regression, to predict future cattle growth. Time series analysis techniques...
A flexible electromagnetic (EM) / solar energy harvester is proposed that finds application in low power energy autonomous wireless sensor networks and RFID-enabled sensors. A low cost, compact and conformal harvester is implemented on a flexible polyester (PET) substrate combining a rectenna for EM harvesting and a flexible amorphous silicon solar cell for solar energy harvesting. A compact design...
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