Texas State University Researcher Adds New Study Findings to Research in Machine Learning (Comparing Machine Learning and Time Series Approaches in Predictive M odeling of Urban Fire Incidents: A Case Study of Austin, Texas)

Robotics & Machine Learning Daily News2024，Issue(MAY.22) ：47-47.

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Texas State University Researcher Adds New Study Findings to Research in Machine Learning (Comparing Machine Learning and Time Series Approaches in Predictive M odeling of Urban Fire Incidents: A Case Study of Austin, Texas)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting from San Marcos, Texas, by NewsRx journalists, research stated, “This study examines urban fire incidents in Austi n, Texas using machine learning (Random Forest) and time series (Autoregressive integrated moving average, ARIMA) methods for predictive modeling.” Financial supporters for this research include Microsoft Ai For Earth Grant.

Key words

Texas State University/San Marcos/Texa s/United States/North and Central America/Cyborgs/Emerging Technologies/Mac hine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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