Nutrient composition and caloric intake have traditionally been used to devise optimized
diets for various phases of life. Adjustment of meal size and frequency have emerged as …

We present a randomized subexponential time, polynomial space parameterized algorithm
for the k -Weighted Feedback Arc Set in Tournaments (k -FAST) problem. We also show that …

Data augmentation is an essential technique for improving generalization ability of deep
learning models. Recently, AutoAugment\cite {cubuk2018autoaugment} has been proposed as …

… v7, some features of FAST v7.02.00d-bjj have not yet been added to FAST v8, so we will …
of the software (FAST v7 and FAST v8) until FAST v8 completely replaces FAST v7. Table 1 …

… Our Level I trauma center incorporated FAST examination into the trauma evaluation in 1996.
Attending trauma staff underwent training in FAST examination at accredited courses. They …

… method is 8.2x faster than HuggingFace Tokenizers and 5.1x faster than TensorFlow Text …
Instead, we propose a faster algorithm (see Section 3.5 for complexity). Our algorithm …

… to update input files created previously for FAST v5.1 so that they are compatible with FAST
v6.0. New users can skip to the section entitled Using This Manual. FAST v6.0 contains an …

The Five-hundred-meter Aperture Spherical radio Telescope (FAST) was completed with its
main structure installed on September 25, 2016, after which it entered the commissioning …

… a fast new DES implementation. This implementation is about five times faster than the
fastest known DES implementation on a (64-bit) Alpha computer, and about three times faster …

Efficient signal processing algorithms are important for embedded and power-limited
applications since, by reducing the number of computations, power consumption can be reduced …