In February 2024, a shipwreck off Tobago caused a significant surface oil spill, highlighting the need for accurate modeling ...
Abstract: Reliable and accurate wind power prediction is fundamental for efficient operation of wind energy system. However, the stochasticity and volatility cause a lot of colored noises, making wind ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Robert Kelly is managing director of ...
Abstract: This paper introduces a digital twin modeling method for hydropower systems with Kaplan turbines using probability density function (PDF) shaping. We first use multilayer perceptron (MLP) ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpca.5c03794. Computational methods and algorithms; description of the ...
#23528 describes a plan for catching the illegal dereference of dangling stack pointers, but the mechanism is more expensive than necessary for simpler cases such as the one above. This enhancement ...