Dynamic modelling and parameter identification stand at the forefront of advancing robotics, enabling the precise simulation and control of robotic systems in increasingly complex real-world ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

Especially when it comes to manufacturing, problem-solving is an art. Every day, companies within this industry face challenges that test their processes, products and, ultimately, their bottom line.

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

Overview of the performed field experiments: The UAV and sensors used for data collection (a) and the trial with group locations (the yellow boxes) (b). Soybeans, valued for their use as both oilseeds ...

Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless interactions happening at once—molecules recognizing each other, signals ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Vapor compression cycles are predominantly used in air-conditioning, heat pump and refrigeration equipment. A good understanding of transient behaviors of vapor compression systems is critical to ...