首页|New Findings from Eotvos Lorand University Describe Advances in Machine Learning (Investigating Traditional Machine Learning Models and the Utility of Audio Fea tures for Lightweight Swarming Prediction In Beehives)
New Findings from Eotvos Lorand University Describe Advances in Machine Learning (Investigating Traditional Machine Learning Models and the Utility of Audio Fea tures for Lightweight Swarming Prediction In Beehives)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Budapest, Hu ngary, by NewsRx correspondents, research stated, "Remote monitoring of the stat us of beehives is essential for efficient beekeeping, leading to less workload o n the beekeeper and, because of not opening the hives too frequently, to less st ress for the colonies. Sound analysis, utilizing machine learning models of vari ous paradigms, is a common feature of so-called smart hives." Financial support for this research came from Ministry of Innovation and Technol ogy of Hungary from the National Research, Development and Innovation Fund.
BudapestHungaryEuropeCyborgsEmer ging TechnologiesLeisureMachine LearningEotvos Lorand University
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