Your English writing platform
Discover LudwigExact(4)
ibitstream This base class reads bits of data from various input sources.
This base class reads bits of data from various input sources.
This file exports stream classes related to reading and writing individual bits at a time from various input sources.
After obtaining the IGE-derived model, a Macro-evolutionary Genetic Algorithm (MEGA) was applied to enhance searching efficiency and genetic diversity during optimization, and subsequently deduced the reduction rates of TP loads from various input sources to achieve the water quality requirement of the reservoir.
Similar(56)
Figure 15 Time averaged queue length of ACs versus congestion case of cross traffic for various input rates of video source: (a) 512 kbps, and (b) 128 kbps.
To support the superiority of this cross-layer framework, extensive tests have been conducted over various input rates of video source in AC[2] and congestion cases of cross traffic in the other ACs.
Figure 13 Average PSNR versus congestion case of cross traffic for various input rates of video source in symmetric and asymmetric combs with five and ten branches: (a) 128 kbps, (b) 256 kbps, (c) 384 kbps, (d) 512 kbps.
Figure 19 Average PSNR-based performance evaluation of different cross-layer frameworks versus congestion case of cross traffic for various input rates of video source, with the left half in QCIF: (a) 128 kbps, (b) 256 kbps, (c) 384 kbps, (d) 512 kbps, and the right half in CIF: (e) 128 kbps, (f) 256 kbps, (g) 384 kbps, (h) 512 kbps.
Figure 18 WPR-based performance evaluation of different cross-layer frameworks versus congestion case of cross traffic for various input rates of video source, with the left half in GOP = 9: (a) 128 kbps, (b) 256 kbps, (c) 384 kbps, (d) 512 kbps, and the right half in GOP = 15: (e) 128 kbps, (f) 256 kbps, (g) 384 kbps, (h) 512 kbps.
(Foreman CIF). Figure 17 Average PSNR-based performance evaluation of different cross-layer frameworks versus congestion case of cross traffic for various input rates of video source, with the left half in GOP = 9: (a) 128 kbps, (b) 256 kbps, (c) 384 kbps, (d) 512 kbps, and the right half in GOP = 15: (e) 128 kbps, (f) 256 kbps, (g) 384 kbps, (h) 512 kbps.
Our RSS reader learns by watching what individuals and the entire community find interesting, taking into account various inputs such as source, author, and topic of the an RSS entry.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com