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Artificial Intelligence Oceanography
Benthic Organism Detection, Quantification and Seamount Biology Detection Based on Deep Learning
other
Author(s):
Yuhai Liu
,
Yu Xu
,
Haining Wang
,
Xiaofeng Li
Publication date
(Online):
February 04 2023
Publisher:
Springer Nature Singapore
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Computer Vision, Deep Learning, Deep Reinforcement Learning, IoT
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Deep Residual Learning for Image Recognition
Kaiming He
,
Xiangyu Zhang
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Shaoqing Ren
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Support-vector networks
Corinna Cortes
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Book Chapter
Publication date (Print):
2023
Publication date (Online):
February 04 2023
Pages
: 323-346
DOI:
10.1007/978-981-19-6375-9_16
SO-VID:
96715260-10e0-493e-9736-1c170552feac
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Book chapters
pp. 1
Artificial Intelligence Foundation of Smart Ocean
pp. 45
Forecasting Tropical Instability Waves Based on Artificial Intelligence
pp. 63
Sea Surface Height Anomaly Prediction Based on Artificial Intelligence
pp. 83
Satellite Data-Driven Internal Solitary Wave Forecast Based on Machine Learning Techniques
pp. 105
AI-Based Subsurface Thermohaline Structure Retrieval from Remote Sensing Observations
pp. 125
Ocean Heat Content Retrieval from Remote Sensing Data Based on Machine Learning
pp. 147
Detecting Tropical Cyclogenesis Using Broad Learning System from Satellite Passive Microwave Observations
pp. 165
Tropical Cyclone Monitoring Based on Geostationary Satellite Imagery
pp. 189
Reconstruction of pCO\(_{2}\) Data in the Southern Ocean Based on Feedforward Neural Network
pp. 209
Detection and Analysis of Mesoscale Eddies Based on Deep Learning
pp. 227
Deep Convolutional Neural Networks-Based Coastal Inundation Mapping from SAR Imagery: with One Application Case for Bangladesh, a UN-defined Least Developed Country
pp. 253
Sea Ice Detection from SAR Images Based on Deep Fully Convolutional Networks
pp. 277
Detection and Analysis of Marine Green Algae Based on Artificial Intelligence
pp. 287
Automatic Waterline Extraction of Large-Scale Tidal Flats from SAR Images Based on Deep Convolutional Neural Networks
pp. 303
Extracting Ship’s Size from SAR Images by Deep Learning
pp. 323
Benthic Organism Detection, Quantification and Seamount Biology Detection Based on Deep Learning
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