A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale. By integrating daily ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

Researchers have developed a feature-enhanced ensemble learning method for rapidly estimating the capacity of lithium-ion ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines ...

Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...

We sit here writing about investments every day. For those of us who are deep into the investment world, it's easy to lose sight of the reality that most people face: Managing your own investments is ...

Accurate dietary assessment plays a crucial role in public health by providing the evidence base needed to design, implement, and evaluate nutrition-related policies and interventions. Reliable ...

Abstract: Accurate estimation of targets’ number is a crucial prerequisite for observing group target. Traditional methods estimate target number by resolving targets in the range/angle domain, but ...

Concurrent GLP1R-agonist use with chemoimmunotherapy for early-stage triple-negative breast cancer. Comparison of methods with RNAscope using Pearson correlation and R².

The wide field of view of fisheye cameras introduces significant image distortion, making accurate depth estimation more challenging compared to pinhole camera models. This paper proposes a fisheye ...