That study found that when asked to choose random numbers between one and five, the LLMS would choose three or four. For between one and 10, most would choose five and seven, and between one and 100, ...

This paper deals with optimizations for big-numbers (multi-precision) squaring, and their efficient implementation on x86-64 platforms. Such optimizations have various usages, and a most prominent one ...

The continuing development of intelligent transportation terminals and the massive generated traffic data have placed tremendous pressure on traffic data acquisition. However, most of existing ...