Accurate prediction of photovoltaic power generation is vital to guarantee smooth operation
of power stations and ensure users' electricity consumption. As a good forecasting tool …

For stable and efficient fusion energy production using a tokamak reactor, it is essential to
maintain a high-pressure hydrogenic plasma without plasma disruption. Therefore, it is …

Bayesian analysis enables flexible and rigorous definition of statistical model assumptions
with well-characterized propagation of uncertainties and resulting inferences for single-shot …

Control for tokamaks, the leading candidate technology for nuclear fusion, is an important
pursuit since the realization of nuclear fusion as an energy source would result in virtually …

This paper is motivated by a simple question: Can we design and build battery-free devices
capable of machine learning and inference in underwater environments? An affirmative …

Continuous, real-time monitoring of occupational health and safety in high-risk workplaces
such as construction sites can substantially improve the safety of workers. However …

Inhomogeneous reionization enhances the 1D Ly α forest power spectrum on large scales at
redshifts z≥ 4. This is due to coherent fluctuations in the ionized hydrogen fraction that arise …

Tokamak is a torus-shaped nuclear fusion device that uses magnetic fields to confine fusion
fuel in the form of plasma. Tearing instability in plasma is a major issue in which the …

The goal of this study is to model the global annual natural gas production using a variety of
machine learning models in order to predict future production and determine a peak …