C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...
IEEE

A Generalized Beta Prime Distribution as the Ratio Probability Density Function for Change Detection Between Two SAR Intensity Images With Different Number of Looks

Abstract: In the framework of the comparison of synthetic aperture radar (SAR) imagery from the Magellan space mission and the VISAR and VenSAR radar instruments which will be onboard the forthcoming ...
GitHub

OIPD computes the market's expectations about the probable future prices of an asset, based on information contained in options data.

While markets don't predict the future with certainty, under the efficient market hypothesis, these collective expectations represent the best available estimate of what might happen. Traditionally, ...
IEEE

The Probability Density Function Based Neuro-Fuzzy Wind Power Prediction With Global Convergence

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 ...
C&EN

Aqueous Electrochemical Memristor Based on Reversible Insulating-Layer Dynamics Emulating Neuromorphic Functions

State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China ...