首页|Studies from Department of Electrical and Communication Engineering Have Provide d New Data on Machine Learning (Floating Litter Detection At the Estuary of Pudu cherry Using Sentinel-2 Data and Machine Learning Model)
Studies from Department of Electrical and Communication Engineering Have Provide d New Data on Machine Learning (Floating Litter Detection At the Estuary of Pudu cherry Using Sentinel-2 Data and Machine Learning Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Pondicherry, India, by NewsRx journalists, research stated, “Marine Floating Litter (MFL)comprises syn thetic polymers or plastic that are purposefully tossed out or inadvertently mis laid alongrivers, drains, beaches, or other coastal environments that connect t he marine ecosystem. Given theadverse impact of the chemicals involved in plast ic manufacturing on the marine environment, includingmarine biota, the need to locate, track, and remove the floating plastic has become demanding.”
PondicherryIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningDepartment of Electrical and Communication E ngineering
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