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Machine Learning in KM3NeT

by De Sio Chiara
Published in EPJ Web of Conferences (2019)

DETECTION OF BACTERIA IN FOODSTUFF BY MACHINE LEARNING METHODS

by A. P. Saenko, V. M. Musalimov, S. Lerm, G. Linss
Published 2014

Application of modern drilling machines in transport construction

by Grinchar N.G., Shoshin A.S., Chalova M.Yu.
Published in Nauchno-tekhnicheskiy vestnik Bryanskogo gosudarstvennogo universiteta (2020)

Detection of trachoma using machine learning approaches.

by Damien Socia, Christopher J Brady, Sheila K West, R Chase Cockrell
Published in PLOS Neglected Tropical Diseases (2022)

Coding for Large-Scale Distributed Machine Learning

by Ming Xiao, Mikael Skoglund
Published in Entropy (2022)

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)

MACHINE LEARNING FOR SEA ICE MONITORING FROM SATELLITES

by C. O. Dumitru, V. Andrei, G. Schwarz, M. Datcu
Published in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2019)

Data Poison Detection Schemes for Distributed Machine Learning

by Yijin Chen, Yuming Mao, Haoyang Liang, Shui Yu, Yunkai Wei, Supeng Leng
Published in IEEE Access (2020)

Efficient Privacy-Preserving Machine Learning for Blockchain Network

by Hyunil Kim, Seung-Hyun Kim, Jung Yeon Hwang, Changho Seo
Published in IEEE Access (2019)

Machine Learning Modeling of Climate Variability Impact on River Runoff

by Mateusz Norel, Krzysztof Krawiec, Zbigniew W. Kundzewicz
Published in Water (2021)

Of Men, Machines and Apocalypses: Masculine Anxieties in Indian Speculative Fiction

by Dibyadyuti Roy
Published 2015

Application of Machine Learning for Simulation of Air Temperature at Dome A

by Xiaoping Pang, Chuang Liu, Xi Zhao, Bin He, Pei Fan, Yue Liu, Meng Qu, Minghu Ding
Published in Remote Sensing (2022)

Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning

by Odin Foldvik Eikeland, Inga Setsa Holmstrand, Sigurd Bakkejord, Matteo Chiesa, Filippo Maria Bianchi
Published in IEEE Access (2021)

Utility–Privacy Trade-Off in Distributed Machine Learning Systems

by Xia Zeng, Chuanchuan Yang, Bin Dai
Published in Entropy (2022)

Snow Depth Fusion Based on Machine Learning Methods for the Northern Hemisphere

by Yanxing Hu, Tao Che, Liyun Dai, Lin Xiao
Published in Remote Sensing (2021)

Estimating Surface Downward Longwave Radiation Using Machine Learning Methods

by Chunjie Feng, Xiaotong Zhang, Yu Wei, Weiyu Zhang, Ning Hou, Jiawen Xu, Kun Jia, Yunjun Yao, Xianhong Xie, Bo Jiang, Jie Cheng, Xiang Zhao
Published in Atmosphere (2020)

The poleward enhanced Arctic Ocean cooling machine in a warming climate

by Qi Shu, Qiang Wang, Zhenya Song, Fangli Qiao
Published in Nature Communications (2021)

Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning

by John P. Krasting, Maurizia De Palma, Maike Sonnewald, John P. Dunne, Jasmin G. John
Published in Communications Earth & Environment (2022)

Evaluation of machine-building enterprises of the Kola Peninsula for developing of the Arctic communications

by Turchaninova T. V., Khrapov V. E., Kibitkin A. I.
Published 2015

Characterization of Arctic Driftwood as Naturally Modified Material. Part 1: Machinability

by Daniel Chuchala, Anna Sandak, Kazimierz A. Orlowski, Jakub Sandak, Olafur Eggertsson, Michal Landowski
Published in Coatings (2021)