Sentence examples for painstakingly identified from inspiring English sources
The orchestra members participating in each of the 33 performances are painstakingly identified, and James H. North supplies a discography of Bernstein's Philharmonic recordings.
This comes as many drugs developed by scientists in drug companies fail in human trials because the active ingredient that researchers so painstakingly identified and tested turns out to work no better than a placebo.
In a nice touch, after each parasite has been painstakingly identified, its life cycle is quickly and chillingly illustrated: worm lays eggs in rat's lung; rat coughs up eggs; rat swallows eggs; rat excretes eggs; snail eats eggs; rat eats snail; and life goes round.
The research team has painstakingly identified
Using open source information Saarinen has painstakingly identified more than 25 Finns who travelled to fight.
Once again, the committee found, Trump's proposed tax cut would pour red ink all over the federal ledger, while Clinton painstakingly identified enough new taxes to offset nearly the entire cost of the programs she would launch.
There was total silence while rescue workers used a sensor to painstakingly identify possible human activity.
Painstakingly identifying patterns and continuously updating your system by hand is a daunting challenge — even more so for tasks such as identifying one human face out of more than 7 billion, or driving a car through chaotic Manhattan traffic.
Instead of painstakingly identifying variables and constructing models, machine learning analysts or data scientists need to focus on assembling large volumes of data and monitoring outputs for relevance and reasonability.
But as Mr. Heath waits here to inform yet another family that a son or daughter, mother or father, cousin or aunt is indeed among the more than a hundred bodies that authorities have been painstakingly identifying since Sunday's tornado, his own eyes well up again and again.
The engineers were taking a different approach: rather than trying to painstakingly identify each rule manually, they set out to build complex statistical models that improved as more speech data was fed into them.
