Researchers have made a decisive step towards being able to simulate brain-scale networks on future supercomputers of the exascale class. The breakthrough algorithm allows larger parts of the human ...

An international group of researchers has made a decisive step towards creating the technology to achieve simulations of brain-scale networks on future supercomputers of the exascale class. The ...

This paper aims to propose a table tennis target detection (TD) method based on deep learning (DL) and multi-scale feature fusion (MFF) to improve the detection accuracy of the ball in table tennis ...

Toshiba Corporation has realized a major breakthrough in combinatorial optimization—the selection of the best solutions from among an enormous number of combinatorial patterns—with the development of ...

In a modern digital ecosystem, multimedia plays a crucial role across various domains in the development of digital technologies. The advanced research innovation relies on a robust foundation of ...

Abstract: With the rapid development of intelligent power equipment and the imperative for digital transformation of the power grid, large-scale power wireless sensor network (PWSN) have become a ...

Abstract: The project portfolio selection and scheduling problem (PPSSP) aims to select and schedule a set of projects, known as a portfolio, to maximize their benefits while adhering to various ...

Data volumes are growing exponentially and performance expectations are at an all-time high, writing efficient code isn’t just a nicety—it’s a necessity. At the heart of code efficiency lies ...

When systems are built to perform at scale, the complexity of Algorithm plays a big role in the ability to scale up. Constraints like Response time (Processing), Memory and Network may be limited in ...