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 ...

Structural reconstruction of thousands of ancient nitrogenases through Earth’s history uncovers architectural constraints that shaped their evolution under global environmental transitions.

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 ...

Artificial intelligence is now better than humans at identifying many patterns, but evolutionary relationships have always ...

Sex-biased gene expression in the body organs evolves rapidly, supporting a mosaic model of maleness and femaleness across tissues and thus challenging binary views of sex characteristics in mammals.

Abstract: Although current time-series forecasting methods have significantly improved the state-of-the-art (SOTA) results for long-sequence time-series forecasting (LSTF), they still have difficulty ...

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 ...

The B.A. in Liberal Studies: Humanities/Social Science is designed to offer students the opportunity to specialize in multiple areas of study in the humanities and social sciences. The ability to ...