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Dergiler / Aquatic Research / 2019 / Cilt: 2 - Sayı: 3

MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY

Hafez AHMAD
Sayfa
161–169
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The main application of machine learning in oceanography is prediction of ocean weather and climate, habitat modelling and distribution, species identification, coastal water monitoring, marine resources management, detection of oil spill and pollution and wave modelling.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Machine learning (ML) is a subset of artificial intelligence that enables to take decision based on data.
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Temel Bulgular & Veri:Artificial intelligence makes possible to integrate ML capabilities into data driven modelling systems in order to bridge the gaps and lessen demands on human experts in oceanographic research .ML algorithms have proven to be a powerful tool for analysing oceanographic and climate data with high accuracy in efficient way.
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Sonuç & Katkı:The main application of machine learning in oceanography is prediction of ocean weather and climate, habitat modelling and distribution, species identification, coastal water monitoring, marine resources management, detection of oil spill and pollution and wave modelling.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

Machine learning (ML) is a subset of artificial intelligence that enables to take decision based on data. Artificial intelligence makes possible to integrate ML capabilities into data driven modelling systems in order to bridge the gaps and lessen demands on human experts in oceanographic research .ML algorithms have proven to be a powerful tool for analysing oceanographic and climate data with high accuracy in efficient way. ML has a wide spectrum of real time applications in oceanography and Earth sciences. This study has explained in simple way the realistic uses and applications of major ML algorithms. The main application of machine learning in oceanography is prediction of ocean weather and climate, habitat modelling and distribution, species identification, coastal water monitoring, marine resources management, detection of oil spill and pollution and wave modelling.

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Bu Makaleye Atıf Yap

AHMAD, H. (2019). MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY. Aquatic Research, Cilt: 2 - Sayı: 3, 161–169. https://ajindex.com/articles/143093

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Kaynakça (11)

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