Liaoning Technical University Reports Findings in Machine Learning (Advanced mac hine learning schemes for prediction CO2 flux based experimental approach in und erground coal fire areas)
Liaoning Technical University Reports Findings in Machine Learning (Advanced mac hine learning schemes for prediction CO2 flux based experimental approach in und erground coal fire areas)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Huludao, People’s Republ ic of China, by NewsRx journalists, research stated, “Undergroundcoal fires pos e significant environmental and health risks due to releasing CO emissions. Pred icting surfaceCO flux accurately in underground coal fire areas is crucial for understanding the distribution of spontaneouscombustion zones and developing ef fective mitigation strategies.”
Key words
Huludao/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Risk and Prevention
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NSTL