Abstract: Infrared small target detection (IRSTD) remains challenging due to the extremely low signal-to-noise ratio (SNR). Existing methods struggle to balance accuracy and speed, especially under ...

A new study by Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) researchers investigates how data from a machine learning-enabled high-throughput phenotyping method can (1) aid in ...

Strengthen your conceptual clarity and answer-writing skills with structured guidance, key points, and self-evaluation ...

Extreme climate events and territorial spatial transformations are accelerating biodiversity loss and degrading habitat quality, particularly in cities and ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new ...

Avian influenza (bird flu) is a highly contagious disease of wild and captive birds. Controlling its spread remains a major ...

A custom-built artificial intelligence system developed by Rice researchers helped uncover how bacterial communities ...

A new imaging technique uncovers how electronic patterns in quantum materials evolve unevenly across space and temperature.

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and myocardial fibrosis plays a central role in the pathophysiology process.

Jasmine Plummer shares the spatial omics techniques she has developed to investigate the cellular processes underlying disease.