Artificial Intelligence Oceanography
eBook - ePub

Artificial Intelligence Oceanography

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence Oceanography

About this book

This open access book invites readers to learn how to develop artificial intelligence (AI)-based algorithms to perform their research in oceanography. Various examples are exhibited to guide details of how to feed the big ocean data into the AI models to analyze and achieve optimized results. The number of scholars engaged in AI oceanography research will increase exponentially in the next decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.

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Yes, you can access Artificial Intelligence Oceanography by Xiaofeng Li,Fan Wang in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2023
Print ISBN
9789811963742
eBook ISBN
9789811963759
Edition
0
Topic
Physical Sciences
Subtopic
Artificial Intelligence (AI) & Semantics

Table of contents

  1. Cover
  2. Front Matter
  3. Artificial Intelligence Foundation of Smart Ocean
  4. Forecasting Tropical Instability Waves Based on Artificial Intelligence
  5. Sea Surface Height Anomaly Prediction Based on Artificial Intelligence
  6. Satellite Data-Driven Internal Solitary Wave Forecast Based on Machine Learning Techniques
  7. AI-Based Subsurface Thermohaline Structure Retrieval from Remote Sensing Observations
  8. Ocean Heat Content Retrieval from Remote Sensing Data Based on Machine Learning
  9. Detecting Tropical Cyclogenesis Using Broad Learning System from Satellite Passive Microwave Observations
  10. Tropical Cyclone Monitoring Based on Geostationary Satellite Imagery
  11. Reconstruction of pCO Data in the Southern Ocean Based on Feedforward Neural Network
  12. Detection and Analysis of Mesoscale Eddies Based on Deep Learning
  13. Deep Convolutional Neural Networks-Based Coastal Inundation Mapping from SAR Imagery: with One Application Case for Bangladesh, a UN-defined Least Developed Country
  14. Sea Ice Detection from SAR Images Based on Deep Fully Convolutional Networks
  15. Detection and Analysis of Marine Green Algae Based on Artificial Intelligence
  16. Automatic Waterline Extraction of Large-Scale Tidal Flats from SAR Images Based on Deep Convolutional Neural Networks
  17. Extracting Ship’s Size from SAR Images by Deep Learning
  18. Benthic Organism Detection, Quantification and Seamount Biology Detection Based on Deep Learning