Sentence examples similar to mechanical experts from inspiring English sources

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"They combine a mechanical expert from a university, a top computer vision expert and machine learning from Google as well as Gansha and his team of semiconductor experts.

Fearful of the financial consequences of doing nothing, they say they have spent hours dealing with the matter, and have had to pay €400 (£285) to engage a French mechanical expert to fight their case at the meeting which was scheduled for this Monday in Bordeaux – despite knowing they did nothing wrong.

Physics other bio-mechanical experts may be looking at these and it is the start of any case.

In the domain of manual mechanical assembly, expert knowledge is an important means of supporting assembly planning that leads to fewer issues during actual assembly.

To compare the visual outcomes of the first 200 myopic laser in situ keratomileusis (LASIK) cases between a mechanical microkeratome expert surgeon and a fellowship-trained surgeon transitioning to the femtosecond laser.

At the merely mechanical level, computer experts in a large jurisdiction cannot test punch-card systems for every voting possibility.

The government has frequently blamed pilot error for the crashes rather than mechanical failure, but experts say it is a distinction without a difference.

The council commissioned architectural, mechanical and electrical experts to investigate the issues, at a cost of nearly £19,000.

But while there are crashes that are manifestly pilot error or manifestly mechanical failure, most experts emphasise that there's usually a range of interconnected and complicated factors that contribute to any crash.

This is particularly important to note as it relates to expert players – while game development team members may be able to tolerate and work-around mechanical issues, for expert players we want to minimize intrusions into the role-playing experience.

The transferability of the BN modelling framework to the NM risk assessment paradigm such as control banding is characterised by its mathematical flexibility in terms of probability elicitation (mechanical, empirical or expert judgement), its ability to adapt to new information and its capacity to produce probabilistic forecasts in low, and often missing data environments.

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