Study Data from National Institute of Technology Provide New Insights into Machi ne Learning (Machine Learning Approach for Water Quality Predictions Based On Mu ltispectral Satellite Imageries)
国家理工学院的研究数据提供了新的机器学习(Machi Ne Learning)基于多光谱遥感影像的水质预测
Study Data from National Institute of Technology Provide New Insights into Machi ne Learning (Machine Learning Approach for Water Quality Predictions Based On Mu ltispectral Satellite Imageries)
国家理工学院的研究数据提供了新的机器学习(Machi Ne Learning)基于多光谱遥感影像的水质预测
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Mani pur, India, by NewsRx correspondents, research stated, “Water qualityanalysis i s a vital component of the water resources management and has to be undertaken p romptly tomake sure environmental regulations are being followed and to elimina te any pollution that could harmthe ecosystem. The main objective of this study to retrieve and map the water quality parameters fromSentinel-2 and ResourceSa t-2 [Linear Imaging Self-Scanning Sensor (LISS)-IV] multi-spectral satellitedata, using Support Vector Machines (SVM), Random Fores ts (RF), and Multi-Linear regression (MLR)models.”
Key words
Manipur/India/Asia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/National Institute of T echnology
NETL
NSTL