Abstract: The implementation of scalable and privacy-preserving models in nonintrusive load monitoring (NILM) requires the usage of distributed pipelines through methods like federated learning.
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Abstract: This study concentrates on the enhancement of the quantum circuit pertaining to Quantum K-Nearest Neighbors (QKNN), which is a fundamental algorithm within the domain of quantum machine ...
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