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1

Harnessing the power of Topological Data Analysis to detect change points in time series

by Islambekov, Umar, Yuvaraj, Monisha, Gel, Yulia R.
Published 2019
Subjects: “...Statistics - Machine Learning...”

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2

ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

by R. Sauzède, J. E. Johnson, H. Claustre, G. Camps-Valls, A. B. Ruescas
Published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2020)
“... the vertical resolution of estimation, and 4) examining the potential of alternative machine learning-based...”

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3

ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING

by Sauzède, R., Johnson, J. E., Claustre, H., Camps-Valls, G., Ruescas, A. B.
Published in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2020)
“... the vertical resolution of estimation, and 4) examining the potential of alternative machine learning-based...”

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4

The real Enigma machine capture from U110

by Their Finest Hour Project Team
Published 2024

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5

Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting

by Zammit-Mangion, Andrew, Wikle, Christopher K.
Published in Spatial Statistics (2019)
Subjects: “...Statistics - Machine Learning...”

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6

Learning the spatio-temporal relationship between wind and significant wave height using deep learning

by Obakrim, Said, Monbet, Valérie, Raillard, Nicolas, Ailliot, Pierre
Published 2022
Subjects: “...Statistics - Machine Learning...”

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7

Machine Learning Modeling of Climate Variability Impact on River Runoff

by Mateusz Norel, Krzysztof Krawiec, Zbigniew W. Kundzewicz
Published in Water (2021)
Subjects: “...machine learning...”

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8

Hurricane Forecasting: A Novel Multimodal Machine Learning Framework

by Boussioux, Léonard, Zeng, Cynthia, Guénais, Théo, Bertsimas, Dimitris
Published 2020
Subjects: “...Machine Learning cs.LG...”

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9

Machine Learning to predict a ship's fuel consumption in seaways

by Mao, Wengang, Brandholm, Pär, Lenaers, Peter, Salomonsson, Hans
Published 2016

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10

Machine Learning Modeling of Climate Variability Impact on River Runoff

by Mateusz Norel, Krzysztof Krawiec, Zbigniew W. Kundzewicz
Published in Water (2021)
Subjects: “...machine learning...”

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11

Hurricane Forecasting: A Novel Multimodal Machine Learning Framework

by Boussioux, Léonard, Zeng, Cynthia, Guénais, Théo, Bertsimas, Dimitris
Published in Weather and Forecasting (2020)
Subjects: “...Computer Science - Machine Learning...”

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12

A Hybrid Dynamical/Machine Learning Approach to Hurricane Prediction

by Liu, Grace
Published 2023
“...This project takes a hybrid dynamical/machine learning approach to annual tropical cyclone (TC...”

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Bachelor Thesis
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13

Physics-informed machine learning models for ship speed prediction

by Lang, Xiao, Wu, Da, Mao, Wengang
Published in Expert Systems with Applications (1481)
Subjects: “...Machine learning...”

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14

A Slowing Cog in the North Atlantic Ocean's Climate Machine

by Kerr, Richard A.
Published in Science (2004)

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15

Prediction of iceberg-seabed interaction using machine learning algorithms

by Azimisiahchaghaei, Hamed
Published 2023
“... the iceberg draft and subgouge soil displacements. In this study, powerful machine learning (ML) algorithms...”

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Thesis
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16

Prediction of iceberg-seabed interaction using machine learning algorithms ...

by Azimisiahchaghaei, Hamed
Published 2023

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17

An emergent machine learning approach for seasonal cyclone activity forecasts

by Bastian, Martin (Dr.)
Published 2023
“... in the system’s state in the long run. In this dissertation we propose an emergent machine learning approach...”

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Doctoral or Postdoctoral Thesis
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18

Detection and Tracking of Carbon Biomes via Integrated Machine Learning

by Mohanty, Sweety, Patara, Lavinia, Kazempour, Daniyal, Kröger, Peer
Published 2024
“... an integrated machine learning tool to objectively classify and track marine carbon biomes under seasonally...”

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19

Detection and Tracking of Carbon Biomes via Integrated Machine Learning

by Mohanty, Sweety, Patara, Lavinia, Kazempour, Daniyal, Kröger, Peer
Published 2024
“... an integrated machine learning tool to objectively classify and track marine carbon biomes under seasonally...”

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20

Detection and Tracking of Carbon Biomes via Integrated Machine Learning

by Mohanty, Sweety, Patara, Lavinia, Kazempour, Daniyal, Kröger, Peer
Published 2024
“... an integrated machine learning tool to objectively classify and track marine carbon biomes under seasonally...”

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Article in Journal/Newspaper