首页|Reports from Federation University Australia Describe Recent Advances in Machine Learning (Prediction of Fire Danger Index Using a New Machine Learning Based Me thod To Enhance Power System Resiliency Against Wildfires)

Reports from Federation University Australia Describe Recent Advances in Machine Learning (Prediction of Fire Danger Index Using a New Machine Learning Based Me thod To Enhance Power System Resiliency Against Wildfires)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting out ofBallarat, Australia, by NewsRx edi tors, research stated, “Wildfires, which can cause significant damageto power s ystems, are mostly inevitable and unpredictable. Fire danger indexes, such as th e Forest FireDanger Index (FFDI) and the Canadian Fire Weather Index (FWI), mea sure the potential wildfire dangerat a given time and location.”

BallaratAustraliaAustralia and New Z ealandCyborgsEmerging TechnologiesMachine LearningFederation University Australia

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.5)