Search Results

Evaluation of machine learning algorithms to classify and map landforms in Antarctica

by Siqueira, Rafael G., Veloso, Gustavo V., Fernandes‐Filho, Elpídio I., Francelino, Márcio R., Schaefer, Carlos Ernesto G. R., Corrêa, Guilherme R.
Published in Earth Surface Processes and Landforms (2021)

A machine learning model of Arctic sea ice motions

by Zhai, Jun, Bitz, Cecilia
Published 2020

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

by Cohen, Judah, Coumou, Dim, Hwang, Jessica, Mackey, Lester, Orenstein, Paulo, Totz, Sonja, Tziperman, Eli
Published in WIREs Climate Change (2018)

Weathering rates of buried machine‐polished rock disks, Kärkevagge, Swedish Lapland

by Thorn, Colin E., Darmody, Robert G., Dixon, John C., Schlyter, Peter
Published in Earth Surface Processes and Landforms (2002)

Dynamic machine learning‐based heuristic energy optimization approach on multicore architecture

by Sundaresan, Yokesh B., Saleem Durai, M. A.
Published in Computational Intelligence (2019)

A machine learning model and biometric transformations to facilitate European oyster monitoring

by Pineda‐Metz, Santiago E. A., Merk, Verena, Pogoda, Bernadette
Published in Aquatic Conservation: Marine and Freshwater Ecosystems (2023)

From distributed machine learning to federated learning: In the view of data privacy and security

by Shen, Sheng, Zhu, Tianqing, Wu, Di, Wang, Wei, Zhou, Wanlei
Published in Concurrency and Computation: Practice and Experience (2020)

Predicting seasonal movements and distribution of the sperm whale using machine learning algorithms

by Chambault, Philippine, Fossette, Sabrina, Heide‐Jørgensen, Mads Peter, Jouannet, Daniel, Vély, Michel
Published in Ecology and Evolution (2021)

Oceanographic controls on Southern Ocean dimethyl sulfide distributions revealed by machine learning algorithms

by McNabb, Brandon J., Tortell, Philippe D.
Published in Limnology and Oceanography (2023)

Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice from SMOS

by Herbert, Christoph, Camps, Adriano, Wellmann, Florian, Vall-Llossera, Mercedes
Published 2020

Revealing the impact of global heating on North Atlantic circulation using transparent machine learning

by Sonnewald, Maike, Lguensat, Redouane
Published 2021

Revealing the impact of global heating on North Atlantic circulation using transparent machine learning

by Sonnewald, Maike, Lguensat, Redouane
Published 2021

Comparison of Minolta colorimeter and machine vision system in measuring colour of irradiated Atlantic salmon

by Yagiz, Yavuz, Balaban, Murat O, Kristinsson, Hordur G, Welt, Bruce A, Marshall, Maurice R
Published in Journal of the Science of Food and Agriculture (2009)

Climatic water balance forecasting with machine learning and deep learning models over Bangladesh

by Jalal Uddin, Md., Li, Yubin, Abdus Sattar, Md., Mistry, Sunit
Published in International Journal of Climatology (2022)

Simulation of the present and future projection of permafrost on the Qinghai-Tibet Plateau with statistical and machine learning models

by ni, jie, Wu, Tonghua, Zhu, Xiaofan, Hu, Guojie, Zou, Defu, Wu, Xiaodong, Li, Ren, Xie, Changwei, Qiao, Yongping, Hao, Junmin, Yang, Cheng
Published 2020

Simulation of the present and future projection of permafrost on the Qinghai-Tibet Plateau with statistical and machine learning models

by ni, jie, Wu, Tonghua, Zhu, Xiaofan, Hu, Guojie, Zou, Defu, Wu, Xiaodong, Li, Ren, Xie, Changwei, Qiao, Yongping, Hao, Junmin, Yang, Cheng
Published 2020

Simulation of the present and future projection of permafrost on the Qinghai-Tibet Plateau with statistical and machine learning models

by Ni, Jie, Wu, Tonghua, Zhu, Xiaofan, Hu, Guojie, Zou, Defu, Wu, Xiaodong, Li, Ren, Xie, Changwei, Qiao, Yongping, Hao, Junmin, Yang, Cheng
Published 2020

Refining the evolutionary time machine: An assessment of whole genome amplification using single historical Daphnia eggs

by O’Grady, Christopher James, Dhandapani, Vignesh, Colbourne, John K., Frisch, Dagmar
Published in Molecular Ecology Resources (2021)

Prediction of seasonal sea surface temperature based on temperature and salinity of subsurface ocean using machine learning

by Wei, Sentao, Wang, Chenghai, Zhang, Feimin, Yang, Kai
Published in International Journal of Climatology (2024)

Lignin phenol quantification from machine learning‐assisted decomposition of liquid chromatography‐absorbance spectroscopy data

by Bruhn, Anders Dalhoff, Wünsch, Urban, Osburn, Christopher L., Rudolph, Jacob C., Stedmon, Colin A.
Published in Limnology and Oceanography: Methods (2023)