As chronic wounds such as diabetic ulcers, pressure ulcers, and articular wounds continue to challenge global healthcare systems, a team of researchers from China has introduced a promising innovation ...

However, effectively integrating semantic understanding into 3DGS in a generalizable way remains a challenge. To overcome these bottlenecks, we introduce SceneSplat, the first end-to-end large-scale ...

Image preprocessing is the first step in OCR technology, aimed at improving image quality to create favorable conditions for subsequent character recognition. Vehicle document images may be affected ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

While not without competition, Nvidia (NASDAQ: NVDA) is still the king of the semiconductor industry. However, some recent market developments, in particular the company’s obligation to pay the ...

Abstract: The k-nearest neighbor algorithm (k-NN) is a straightforward and highly effective classical machine learning method that categorises unidentified test instances by identifying the k-nearest ...

Abstract: This paper discusses the design of a machine learning algorithm based on multi-indicator decision making to improve the accuracy and efficiency of performance evaluation. Firstly, an ...