首页|New Machine Learning Findings from University of Technology Discussed (Compariso n of Conventional and Machine Learning Methods for Bias Correcting Cmip6 Rainfal l and Temperature In Nigeria)
New Machine Learning Findings from University of Technology Discussed (Compariso n of Conventional and Machine Learning Methods for Bias Correcting Cmip6 Rainfal l and Temperature In Nigeria)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting from Johor Baharu, Malaysia, by NewsRx journalists, research stated, “This research assesses the efficacy o f thirteen bias correction methods, including traditional and machine learning-b ased approaches, in downscaling four chosen GCMs of Coupled Model Intercompariso n Project 6 (CMIP6) in Nigeria. The 0.5 degrees resolution gridded rainfall, max imum temperature (Tmx), and minimum temperature (Tmn) of the Climate Research Un it (CRU) for the period 1975 - 2014 was used as the reference.”
Johor BaharuMalaysiaAsiaCyborgsE merging TechnologiesMachine LearningUniversity of Technology
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