Your English writing platform
Discover LudwigExact(50)
Given the fragmented nature of these clinical metric data sets, we consolidated the different clinical metrics across several sources.
Time-series metric data were used to train a Random Forest (RF) regression model to predict fractional woody plant cover for each 5-year epoch (Supplementary Fig. 1).
However, a general, efficient, and scalable solution for metric data management is still a resisting research challenge.
6. Maintain, analyze, and report EVM metric data (e.g., CPI/SPI SV, CV VAC) for internal work and subcontracts to PMs and CAMs.
Discussion focuses on the antiquated, fuzzy dichotomous descriptors of patrilocal/matrilocal residence rules, trait heritability, the utility of dental metric data, and small and imbalanced samples.
The selected input metric data are used with the MOS as entries of machine learning methods to produce the final models.
Similar(10)
The metric data-structure is built to be optimal in terms of storage while remaining convenient to use.
In addition, one block of zeros is allocated in the metric data-structure and all zero elements are set to point towards it.
The radio-metric data set comprises X/X, X/Ka and Ka/Ka range and Doppler observables from the Cassini and Rosetta missions.
We are not only producing more data from existing sources, we are constantly creating entirely new streams of data, whether statistical, text, audio, video, sensor, and bio-metric data.
Concurrent acquisition of fluorescence and reference signals allowed the efficient generation of ratio-metric data for 3D image reconstruction.
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