首页|Reports from Banaras Hindu University Describe Recent Advances in Machine Learni ng (Machine Learning Approach for Detection of Land Subsidence Induced By Underg round Coal Fire Using Multisensor Satellite Data)
Reports from Banaras Hindu University Describe Recent Advances in Machine Learni ng (Machine Learning Approach for Detection of Land Subsidence Induced By Underg round Coal Fire Using Multisensor Satellite Data)
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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 reportingfrom Varanasi, India, by NewsRx jour nalists, research stated, “High-rank coal reserves in Jharia Coalfield(JCF, Ind ia), are invariably associated with underground coal fires and land subsidence. This study exploresmulti-sensor time series satellite data (Landsat 8 OLI and S entinel-1) through machine learning (ML) todetermine the regional ground deform ation accompanying coal fires and their contextual relationship.”
VaranasiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningBanaras Hindu University
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