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Found 3 papers, 1 papers with code
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline
Multiple Deep Neural Networks (DNNs) integrated into single Deep Learning (DL) inference pipelines e. g. Multi-Task Learning (MTL) or Ensemble Learning (EL), etc., albeit very accurate, pose challenges for edge deployment.
Computational Solar Energy -- Ensemble Learning Methods for Prediction of Solar Power Generation based on Meteorological Parameters in Eastern India
In this paper, the impact of weather parameters on solar PV power generation is estimated by several Ensemble ML (EML) models like Bagging, Boosting, Stacking, and Voting for the first time.
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
Vaccinations against viruses have always been the need of the hour since long past.
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