Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...

Precise Short-Term Load Forecasting (STLF) plays a crucial role in the smooth operation of power systems, future capacity planning, unit commitment, and demand response. However, due to its ...

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so ...

Hospitals may soon have a faster option, thanks to a groundbreaking system built in part by Sneha Goenka, an assistant ...

Computational modeling could improve how scientists and planners understand and prepare for natural disasters on our coasts ...

To determine how listeners learn the statistical properties of acoustic spaces, we assessed their ability to perceive speech in a range of noisy and reverberant rooms. Listeners were also exposed to ...

For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

The analysis of neural morphology across Heliconiini butterfly species revealed brain area-specific changes associated with new foraging behaviours. While the volume of the centre for learning and ...

How rapidly gene expression in a single cell changes over time can provide insight into how cells might become more specialized. A new method to calculate RNA velocity, developed by researchers at ...

Abstract: This paper discusses the development of a MATLAB toolbox for Robot Sensor Interface (RSI) communication with KUKA KR6 R900 SIXX then to validate the received joint values through RSI by ...

SAN DIEGO — A tiny stretch of DNA that’s been quietly evolving in humans for millions of years might hold the key to understanding what makes our brains different from our closest animal relatives.