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Refinado por: Base de dados/Biblioteca: IOP Publishing (Open access) remover assunto: Neural Networks remover Learning Algorithms remover
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1
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
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Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

Crane-Droesch, Andrew

Environmental research letters, 2018-10, Vol.13 (11), p.114003 [Periódico revisado por pares]

Bristol: IOP Publishing

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2
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
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Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

Wolanin, Aleksandra ; Mateo-García, Gonzalo ; Camps-Valls, Gustau ; Gómez-Chova, Luis ; Meroni, Michele ; Duveiller, Gregory ; Liangzhi, You ; Guanter, Luis

Environmental research letters, 2020-02, Vol.15 (2), p.24019 [Periódico revisado por pares]

Bristol: IOP Publishing

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3
The relationship between nuclear energy consumption and economic growth: evidence from Switzerland
The relationship between nuclear energy consumption and economic growth: evidence from Switzerland
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The relationship between nuclear energy consumption and economic growth: evidence from Switzerland

Magazzino, Cosimo ; Mele, Marco ; Schneider, Nicolas ; Vallet, Guillaume

Environmental research letters, 2020-09, Vol.15 (9), p.940 [Periódico revisado por pares]

Bristol: IOP Publishing

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4
Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)
Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)
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Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q)

Wolf, Mattis ; van den Berg, Katelijn ; Garaba, Shungudzemwoyo P ; Gnann, Nina ; Sattler, Klaus ; Stahl, Frederic ; Zielinski, Oliver

Environmental research letters, 2020-11, Vol.15 (11), p.114042 [Periódico revisado por pares]

Bristol: IOP Publishing

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5
From machine learning to deep learning in agriculture - the quantitative review of trends
From machine learning to deep learning in agriculture - the quantitative review of trends
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From machine learning to deep learning in agriculture - the quantitative review of trends

Dokic, K ; Blaskovic, L ; Mandusic, D

IOP conference series. Earth and environmental science, 2020-12, Vol.614 (1), p.12138 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
An LSTM-based neural network method of particulate pollution forecast in China
An LSTM-based neural network method of particulate pollution forecast in China
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An LSTM-based neural network method of particulate pollution forecast in China

Chen, Yarong ; Cui, Shuhang ; Chen, Panyi ; Yuan, Qiangqiang ; Kang, Ping ; Zhu, Liye

Environmental research letters, 2021-04, Vol.16 (4), p.44006 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks
Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks
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Long-term satellite-based estimates of air quality and premature mortality in Equatorial Asia through deep neural networks

Bruni Zani, N ; Lonati, G ; Mead, M I ; Latif, M T ; Crippa, P

Environmental research letters, 2020-10, Vol.15 (10), p.104088 [Periódico revisado por pares]

Bristol: IOP Publishing

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8
Key Factors for Hard-to-Recover Hydrocarbon Resources Development on Land and the Arctic Shelf: Smart Technologies vs. Smart Specialists
Key Factors for Hard-to-Recover Hydrocarbon Resources Development on Land and the Arctic Shelf: Smart Technologies vs. Smart Specialists
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Key Factors for Hard-to-Recover Hydrocarbon Resources Development on Land and the Arctic Shelf: Smart Technologies vs. Smart Specialists

Petukhov, A V

IOP conference series. Earth and environmental science, 2020-07, Vol.539 (1), p.12157 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
A complex Neural Classifier for the Fault Prognosis and Diagnosis of Overhead Electrical Lines
A complex Neural Classifier for the Fault Prognosis and Diagnosis of Overhead Electrical Lines
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A complex Neural Classifier for the Fault Prognosis and Diagnosis of Overhead Electrical Lines

Belardi, R ; Bindi, M ; Grasso, F ; Luchetta, A ; Manetti, S ; Piccirilli, M C

IOP conference series. Earth and environmental science, 2020-09, Vol.582 (1), p.12001 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Research on Deep Generative Model Application for Shortterm Load Forecasting of Enterprise Electricity
Research on Deep Generative Model Application for Shortterm Load Forecasting of Enterprise Electricity
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Research on Deep Generative Model Application for Shortterm Load Forecasting of Enterprise Electricity

Zhu, Liwen ; Huang, Yujun

IOP conference series. Earth and environmental science, 2021-03, Vol.687 (1), p.12113 [Periódico revisado por pares]

Bristol: IOP Publishing

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