首页|Recent Findings from Shanghai Ocean University Provides New Insights into Machin e Learning [Evaluating the Importance of Vertical Environment al Variables for Albacore Fishing Grounds In Tropical Atlantic Ocean Using Machi ne Learning and Shapley ...]
Recent Findings from Shanghai Ocean University Provides New Insights into Machin e Learning [Evaluating the Importance of Vertical Environment al Variables for Albacore Fishing Grounds In Tropical Atlantic Ocean Using Machi ne Learning and Shapley ...]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating in Shanghai, People’s Republi c of China, by NewsRx journalists, research stated, “This study aims to find rel iable vertical environmental variables for modeling the fishing grounds of albac ore (Thunnus alalunga) in the tropical waters of the Atlantic Ocean. Logbook dat a of 13 Chinese longliners operating in the high seas of the Atlantic Ocean from 2016 to 2019 were collected and matched with vertical environmental variables i ncluding dissolved oxygen, temperature, and salinity from 0 to 500 m at 50-m dep th intervals.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningShanghai Ocean University
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