首页|Data on Machine Learning Reported by Researchers at Singidunum University (Optimizing Machine Learning for Space Weather Forecasting and Event Classification Using Modified Metaheuristics)
Data on Machine Learning Reported by Researchers at Singidunum University (Optimizing Machine Learning for Space Weather Forecasting and Event Classification Using Modified Metaheuristics)
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Springer Nature
Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Belgrade, Serbia, by NewsRx correspondents, research stated, "Space weather profoundly impacts Earth and its surrounding space environment, necessitating improved prediction to safeguard critical infrastructure such as communication and satellites. Solar flares can disrupt communications and pose radiation risks to airline passengers." Financial support for this research came from Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja.
BelgradeSerbiaEuropeCyborgsEmerging TechnologiesMachine LearningSingidunum University
NETL
NSTL
Springer Nature
