Your English writing platform
Discover LudwigSuggestions(1)
Exact(6)
Figure 3 shows the execution timelines of the 36 simulations where each horizontal line represents the execution of a single simulation on Cloud computers C1 to C4.
We consider the same simulation parameters as in the preceding simulations, where each of the secondary users is transmitted a different scalable video sequence, namely the "bus", "city", and "foreman" sequences.
The detailed procedure of fine time adjustment is described in Algorithm 1. Packet-based N T × N R MIMO-OFDM systems were used for simulations, where each packet consists of a training sequence followed by 34 random OFDM data symbols.
A packet-based low-density parity-check (LDPC) coded single-input single-output (SISO) OFDM system was used for simulations, where each codeword is encoded with code (1600,800)[17] and each packet consists of a training sequence followed by 17 random OFDM data symbols.
We do not aim at simulating individual cortical neurones but rather employ a lumped or mean-field type model in the simulations, where each cell represents the average activity of a local pool of neurones or 'column' (Wilson & Cowan, 1973; Eggert & van Hemmen, 2000).
At the input level, this is accomplished by assigning a probability of being active in time t to each external species (i.e., those with no regulators), in contrast to classical Boolean simulations where each external species is fixed to 0 or 1.
Similar(54)
Fig. 5 a 3D Screen view of simulation model where each process-step (see Fig. 4) is modelled.
We generated a birth cohort of 500 000 women by Monte Carlo simulation, where each woman's natural history was simulated independently.
Algorithms create a sort of Baudrillardian simulation, where each rating has completely replaced the reality it refers to, and where the digital review feels more real, and certainly more meaningful, than the actual, real-life experience.
But today, you can do aerodynamic development in simulation, where each iteration takes 30 minutes and costs almost nothing, and so you can do it with a tiny team.
The ethograms show typical results of the simulation, where each row corresponds to the output of a module.
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