Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Abstract: Robotic manipulation of deformable linear objects (DLOs) has broad application prospects, e.g., manufacturing and medical surgery. To achieve such tasks, a critical challenge is the precise ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

A high-voltage supercapacitor based on a dual-functional porous graphene carbon nanocomposite (PGCN) electrode has been developed, which could enable more stable supercapacitors for applications such ...

The RUS-PAT (rotational ultrasound tomography, RUST, combined with photoacoustic tomography, PAT) technique combines the benefits of ultrasound imaging for seeing tissue structure with those of ...

The biggest concern on Michigan State's roster right now is probably the defensive line. MSU lost several of its top players at EDGE and on the interior this offseason, and the Spartans did not really ...

Abstract: Software defect prediction refers to the systematic analysis and review of software using various approaches and tools to identify potential defects or errors. Software defect prediction ...

When large language models (LLMs) are allowed to interact without any preset goals, scientists found distinct personalities emerged by themselves. When you purchase through links on our site, we may ...