首页|Reports Outline Machine Learning Study Findings from Sunway University (Differen t Time-increment Rainfall Prediction Models: a Machine Learning Approach Using V arious Input Scenarios)
Reports Outline Machine Learning Study Findings from Sunway University (Differen t Time-increment Rainfall Prediction Models: a Machine Learning Approach Using V arious Input Scenarios)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Petaling Jaya, Malays ia, by NewsRx journalists, research stated, “This study investigatesthe utiliza tion of machine learning techniques, including Linear Regression, Gradient Boost , and LSTMalgorithms, for rainfall prediction across different timeframes (hour ly, daily, and monthly). Data spanningfrom 2015 to 2022 from meteorological sta tions in the Langat basin river region (Pejabat, Kajang, andPetaling) is employ ed for model development and evaluation.”
Petaling JayaMalaysiaAsiaCyborgsEmerging TechnologiesMachine LearningSunway University
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