The research team, supervised by Dr Yorgos Tzimiropoulos, trained a CNN
on a huge dataset of 2D pictures and 3D facial models.
Not exact matches
A large - scale metaanalysis
on heart failure, using a
huge individual patient
dataset, found that diabetes was more frequent in women than men, including patients with both reduced and preserved ejection fraction (307).
He is what I would call an «expert» as he has had a
huge influence
on the development of reanalysis
datasets, old and new.
Or perhaps you can point me to the
dataset that shows, for several individual locations for the same period as the temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use global records for that, there can be
huge differences
on a local scale) * Absolute humidity * TSI with correction for local albedo, including cloud albedo, and the place
on earth.
You then asked «Or perhaps you can point me to the
dataset that shows, for several individual locations for the same period as the temperature set the: * CO2 concentrations (OK, we could use Mauna Loa for that) * Aerosols (sorry, can't use global records for that, there can be
huge differences
on a local scale) * Absolute humidity * TSI with correction for local albedo, including cloud albedo, and the place
on earth» Well actually, I can and have for the USA in terms of CO2, humidity (RH but AH also if you insist), and albedo, not to mention actual solar surface radiation, and various other variables (eg windspeed), as I have previously reported here for quite a few locations, eg Pt Barrow.
For instance, we needed to find a
huge dataset on the internet for a particular project and it was successfully completed in a few hours by a programmer we hired.