Robotics & Machine Learning Daily News2024,Issue(Nov.1) :98-98.

Data from Newcastle University Advance Knowledge in Machine Learning (Enhancing the resolution of sparse rock property measurements using machine learning and r andom field theory)

Robotics & Machine Learning Daily News2024,Issue(Nov.1) :98-98.

Data from Newcastle University Advance Knowledge in Machine Learning (Enhancing the resolution of sparse rock property measurements using machine learning and r andom field theory)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Newcastle University by NewsRx correspondents, research stated, “The travel time of rock compression al waves is an essential parameter used for estimating important rock properties , such as porosity, permeability, and lithology. Current methods, like wireline logging tests, provide broad measurements but lack finer resolution.” Financial supporters for this research include National Natural Science Foundati on of China; Australian Government; Australian Research Council.

Key words

Newcastle University/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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