首页|Data from Chapman University Provide New Insights into Machine Learning (A gener alized machine learning model for long-term coral reef monitoring in the Red Sea )
Data from Chapman University Provide New Insights into Machine Learning (A gener alized machine learning model for long-term coral reef monitoring in the Red Sea )
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Fresh data on artificial intelligence are presented in a new report. According to news originating from Chapman Univer sity by NewsRx editors, the research stated, "Coral reefs, despite covering less than 0.2 % of the ocean floor, harbor approximately 35 % of all known marine species, making their conservation critical." Financial supporters for this research include Us Department of Education. The news reporters obtained a quote from the research from Chapman University: " However, coral bleaching, exacerbated by climate change and phenomena such as El Nino, poses a significant threat to these ecosystems. This study focuses on the Red Sea, proposing a generalized machine learning approach to detect and monito r changes in coral reef cover over an 18-year period (2000-2018). Using Landsat 7 and 8 data, a Support Vector Machine (SVM) classifier was trained on depth-inv ariant indices (DII) derived from the Gulf of Aqaba and validated against ground truth data from Umluj. The classifier was then applied to Al Wajh, demonstratin g its robustness across different sites and times. Results indicated a significa nt decline in coral cover: 11.4 % in the Gulf of Aqaba, 3.4 % in Umluj, and 13.6 % in Al Wajh."
Chapman UniversityCyborgsEmerging Te chnologiesMachine Learning
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