首页|University of Calcutta Reports Findings in Machine Learning (Habitat Quality and Degradation Change Analysis for the Sundarbans Mangrove Forest Using Invest Hab itat Quality Model and Machine Learning)
University of Calcutta Reports Findings in Machine Learning (Habitat Quality and Degradation Change Analysis for the Sundarbans Mangrove Forest Using Invest Hab itat Quality Model and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from West Bengal, India, by NewsRx journalists, research stated, “The startling rate of biodiversityloss, particularly in ecologically delicate coastal environments, is a major environme ntal concern facing theglobe today. As sustainable exploitation of natural reso urces, including timber and other forest productsfrom tropical rainforests and mangrove habitats, is crucial this research will examine the factors and processes that degrade mangrove habitats -in terms of their health and resilience -and suggest ways to reducehuman impact.”
West BengalIndiaAsiaCyborgsEmerg ing TechnologiesMachine LearningUniversity of Calcutta
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