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Refinado por: Nome da Publicação: Iop Conference Series. Earth And Environmental Science remover assunto: Neural Networks remover Maschinelles Lernen remover
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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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2
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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3
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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4
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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5
Machine Learned Artificial Neural Networks Vs Linear Regression: A Case of Chinese Carbon Emissions
Machine Learned Artificial Neural Networks Vs Linear Regression: A Case of Chinese Carbon Emissions
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Machine Learned Artificial Neural Networks Vs Linear Regression: A Case of Chinese Carbon Emissions

Sajid, M J

IOP conference series. Earth and environmental science, 2020-04, Vol.495 (1), p.12044 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
Research on load forecasting method of large Power Grid based on Deep confidence Network
Research on load forecasting method of large Power Grid based on Deep confidence Network
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Research on load forecasting method of large Power Grid based on Deep confidence Network

Xu, Banghan ; Wu, Tianci ; Wang, Xue ; Zhu, Ying ; Guo, Nengxing ; Cai, Zhengying

IOP conference series. Earth and environmental science, 2021-03, Vol.692 (2), p.22117 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
A comparative study of machine learning based modeling methods for Lithium-ion battery
A comparative study of machine learning based modeling methods for Lithium-ion battery
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A comparative study of machine learning based modeling methods for Lithium-ion battery

Wang, Peng ; Fan, Jie ; Ou, Yang ; Li, Zhe ; Wang, Yi ; Deng, Bo ; Zhang, Yuanwei ; Gao, Zihao

IOP conference series. Earth and environmental science, 2020-07, Vol.546 (5), p.52045 [Periódico revisado por pares]

Bristol: IOP Publishing

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8
An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber
An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber
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An Artificial intelligence approach for predicting compressive strength of eco-friendly concrete containing waste tire rubber

Dat, L T M ; Dmitrieva, T L ; Duong, V N ; Canh, D T N

IOP conference series. Earth and environmental science, 2020-12, Vol.612 (1), p.12029 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
A novel model for the prediction of long-term building energy demand: LSTM with Attention layer
A novel model for the prediction of long-term building energy demand: LSTM with Attention layer
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A novel model for the prediction of long-term building energy demand: LSTM with Attention layer

Gao, Yuan ; Fang, Chengkuan ; Ruan, Yingjun

IOP conference series. Earth and environmental science, 2019-07, Vol.294 (1), p.12033 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Assessing below-ground carbon and nitrogen accumulation of green infrastructure using machine learning methods, targeting sub-tropical bioretention basins
Assessing below-ground carbon and nitrogen accumulation of green infrastructure using machine learning methods, targeting sub-tropical bioretention basins
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Assessing below-ground carbon and nitrogen accumulation of green infrastructure using machine learning methods, targeting sub-tropical bioretention basins

Kavehei, Emad ; Karim, Abdul ; Jenkins, Graham ; Adame, Fernanda ; Sattar, Abdul ; Desha, Cheryl

IOP conference series. Earth and environmental science, 2020-06, Vol.509 (1), p.12029 [Periódico revisado por pares]

Bristol: IOP Publishing

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