Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Here we detail the design and implementation of a compact, low-cost, smart air-quality monitoring system based on the Arduino ...

Overcurrent relays with inverse definite minimum time (IDMT) characteristics are widely used in power systems to protect electrical feeders and loads from ...

Abstract: This study proposes a unit module-based acceleration method for 2-D topology optimization. For the purpose, the first-stage topology optimization is performed until the predefined iteration.

Not only is it mesmerizing to watch the videos and try to figure out what they’re making, but the various ovens, grills, ...