Robotics & Machine Learning Daily News2024,Issue(Oct.28) :115-116.

Reports Outline Machine Learning Research from Florida Institute of Technology ( Spatiotemporal Bayesian Machine Learning for Estimation of an Empirical Lower Bo und for Probability of Detection with Applications to Stationary Wildlife Photog raphy)

Robotics & Machine Learning Daily News2024,Issue(Oct.28) :115-116.

Reports Outline Machine Learning Research from Florida Institute of Technology ( Spatiotemporal Bayesian Machine Learning for Estimation of an Empirical Lower Bo und for Probability of Detection with Applications to Stationary Wildlife Photog raphy)

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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 reporting out of Melbourne, Florida, by NewsRx editors, research stated, “An important parameter in the monitoring and surveillance systems is the probability of detection. Advanced wildlife monito ring systems rely on camera traps for stationary wildlife photography and have b een broadly used for estimation of population size and density.”

Key words

Florida Institute of Technology/Melbour ne/Florida/United States/North and Central America/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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