首页|Research Reports from Guangdong Ocean University Provide New Insights into Machi ne Learning (Marine Equipment Siting Using Machine-Learning-Based Ocean Remote S ensing Data: Current Status and Future Prospects)
Research Reports from Guangdong Ocean University Provide New Insights into Machi ne Learning (Marine Equipment Siting Using Machine-Learning-Based Ocean Remote S ensing Data: Current Status and Future Prospects)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting originating from Zhanjiang, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “As the global climate changes, there is an increasing focus on the oceans and their protectio n and exploitation.” Financial supporters for this research include National Science Foundation of Ch ina. Our news editors obtained a quote from the research from Guangdong Ocean Univers ity: “However, the exploration of the oceans necessitates the construction of ma rine equipment, and the siting of such equipment has become a significant challe nge. With the ongoing development of computers, machine learning using remote se nsing data has proven to be an effective solution to this problem. This paper re views the history of remote sensing technology, introduces the conditions requir ed for site selection through measurement analysis, and uses cluster analysis me thods to identify areas such as machine learning as a research hotspot for ocean remote sensing.”
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