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Refinado por: assunto: Self-Organizing Map remover
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1
Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing
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Slippage and immobilization detection for planetary exploration rovers via machine learning and proprioceptive sensing

Gonzalez, Ramon ; Apostolopoulos, Dimi ; Iagnemma, Karl

Journal of field robotics, 2018-03, Vol.35 (2), p.231-247 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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Accurate Identification of Human Phosphorylated Proteins by Ensembling Supervised Kernel Self‐organizing Maps
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Accurate Identification of Human Phosphorylated Proteins by Ensembling Supervised Kernel Self‐organizing Maps

Cui, Bei‐Liang ; Ding, Yong

Molecular informatics, 2020-07, Vol.39 (7), p.e1900141-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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3
Identifying ecosystem service bundles and the spatiotemporal characteristics of trade-offs and synergies in coal mining areas with a high groundwater table
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Artigo
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Identifying ecosystem service bundles and the spatiotemporal characteristics of trade-offs and synergies in coal mining areas with a high groundwater table

Li, Sucui ; Zhao, Yanling ; Xiao, Wu ; Yellishetty, Mohan ; Yang, Dongsen

The Science of the total environment, 2022-02, Vol.807 (Pt 3), p.151036-151036, Article 151036 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Regional flood inundation nowcast using hybrid SOM and dynamic neural networks
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Regional flood inundation nowcast using hybrid SOM and dynamic neural networks

Chang, Li-Chiu ; Shen, Hung-Yu ; Chang, Fi-John

Journal of hydrology (Amsterdam), 2014-11, Vol.519, p.476-489 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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5
Influence of mining activities on groundwater hydrochemistry and heavy metal migration using a self-organizing map (SOM)
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Influence of mining activities on groundwater hydrochemistry and heavy metal migration using a self-organizing map (SOM)

Zhu, Ge ; Wu, Xiong ; Ge, Jianping ; Liu, Fei ; Zhao, Weiguang ; Wu, Chu

Journal of cleaner production, 2020-06, Vol.257, p.120664, Article 120664 [Periódico revisado por pares]

Elsevier Ltd

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6
Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques
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Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques

Chang, Fi-John ; Chang, Li-Chiu ; Kang, Che-Chia ; Wang, Yi-Shin ; Huang, Angela

The Science of the total environment, 2020-09, Vol.736, p.139656-139656, Article 139656 [Periódico revisado por pares]

Elsevier B.V

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Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis
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Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis

Chang, Li-Chiu ; Liou, Jia-Yi ; Chang, Fi-John

Journal of hydrology (Amsterdam), 2022-09, Vol.612, p.128086, Article 128086 [Periódico revisado por pares]

Elsevier B.V

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8
Machine learning can identify the sources of heavy metals in agricultural soil: A case study in northern Guangdong Province, China
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Machine learning can identify the sources of heavy metals in agricultural soil: A case study in northern Guangdong Province, China

Shi, Taoran ; Zhang, Jingru ; Shen, Wenjie ; Wang, Jun ; Li, Xingyuan

Ecotoxicology and environmental safety, 2022-10, Vol.245, p.114107-114107, Article 114107 [Periódico revisado por pares]

Elsevier Inc

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9
Self-organizing maps for the identification of groundwater salinity sources based on hydrochemical data
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Self-organizing maps for the identification of groundwater salinity sources based on hydrochemical data

Haselbeck, Valentin ; Kordilla, Jannes ; Krause, Florian ; Sauter, Martin

Journal of hydrology (Amsterdam), 2019-09, Vol.576, p.610-619 [Periódico revisado por pares]

Elsevier B.V

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10
Adaptive protection scheme for microgrids based on SOM clustering technique
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Adaptive protection scheme for microgrids based on SOM clustering technique

Ghadiri, Seyyed Mohammad Ebrahim ; Mazlumi, Kazem

Applied soft computing, 2020-03, Vol.88, p.106062, Article 106062 [Periódico revisado por pares]

Elsevier B.V

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