首页|Researchers at National Institute of Technology Raipur Release New Data on Machi ne Learning (Evaluation of Machine Learning Techniques With Aviris-ng Dataset In the Identification and Mapping of Minerals)
Researchers at National Institute of Technology Raipur Release New Data on Machi ne Learning (Evaluation of Machine Learning Techniques With Aviris-ng Dataset In the Identification and Mapping of Minerals)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting from Raipur, India, by NewsRx journalists, research stated, “Identifying valuable mineral resources is obligatory for hum an development and survival due to their scientific and economic implications. H yperspectral Remote Sensing (HRS) is an efficient technique that empowers us to precisely identify and map altered minerals based on spectral absorption curves in the VNIR and SWIR range of the electromagnetic spectrum.” Financial support for this research came from Space Application Cen-tre, Indian Space Research Organization India.
RaipurIndiaAsiaCyborgsEmerging T echnologiesInorganic ChemicalsMachine LearningMineralsSupport Vector Mac hinesVector MachinesNational Institute of Technology Raipur
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