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Structural floor acceleration denoising method using generative adversarial network
Structural floor acceleration denoising method using generative adversarial network
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Structural floor acceleration denoising method using generative adversarial network

Shen, Junkai ; Zhang, Lingxin ; Kusunoki, Koichi ; Yeow, Trevor Zhiqing

Soil dynamics and earthquake engineering (1984), 2023-10, Vol.173, p.108061, Article 108061 [Periódico revisado por pares]

Elsevier Ltd

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Brain tumor segmentation with Deep Neural Networks
Brain tumor segmentation with Deep Neural Networks
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Brain tumor segmentation with Deep Neural Networks

Havaei, Mohammad ; Davy, Axel ; Warde-Farley, David ; Biard, Antoine ; Courville, Aaron ; Bengio, Yoshua ; Pal, Chris ; Jodoin, Pierre-Marc ; Larochelle, Hugo

Medical image analysis, 2017-01, Vol.35, p.18-31 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
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Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices

Avinash, G. ; Ramasubramanian, V. ; Ray, Mrinmoy ; Paul, Ranjit Kumar ; Godara, Samarth ; Nayak, G.H. Harish ; Kumar, Rajeev Ranjan ; Manjunatha, B. ; Dahiya, Shashi ; Iquebal, Mir Asif

Applied soft computing, 2024-06, Vol.158, Article 111557 [Periódico revisado por pares]

Elsevier B.V

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4
Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks
Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks
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Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks

Nie, Yuhao ; Zamzam, Ahmed S. ; Brandt, Adam

Solar energy, 2021-08, Vol.224, p.341-354 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks
Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks
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Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks

Zhong, Liang ; Guo, Xi ; Xu, Zhe ; Ding, Meng

Geoderma, 2021-11, Vol.402, p.115366, Article 115366 [Periódico revisado por pares]

Elsevier B.V

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Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning
Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning
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Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning

Wang, Yi ; Choi, Eun Jung ; Choi, Younhee ; Zhang, Hao ; Jin, Gong Yong ; Ko, Seok-Bum

Ultrasound in medicine & biology, 2020-05, Vol.46 (5), p.1119-1132 [Periódico revisado por pares]

England: Elsevier Inc

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7
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
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Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

Gessert, Nils ; Nielsen, Maximilian ; Shaikh, Mohsin ; Werner, René ; Schlaefer, Alexander

MethodsX, 2020-01, Vol.7, p.100864-100864, Article 100864 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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8
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
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Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data

Perera, Maneesha ; De Hoog, Julian ; Bandara, Kasun ; Senanayake, Damith ; Halgamuge, Saman

Applied energy, 2024-05, Vol.361, Article 122971 [Periódico revisado por pares]

Elsevier Ltd

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9
Using deep learning for multivariate mapping of soil with quantified uncertainty
Using deep learning for multivariate mapping of soil with quantified uncertainty
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Using deep learning for multivariate mapping of soil with quantified uncertainty

Wadoux, Alexandre M.J.-C.

Geoderma, 2019-10, Vol.351, p.59-70 [Periódico revisado por pares]

Elsevier B.V

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10
A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process
A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process
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A multi-scale convolutional neural network for autonomous anomaly detection and classification in a laser powder bed fusion additive manufacturing process

Scime, Luke ; Beuth, Jack

Additive manufacturing, 2018-12, Vol.24 (C), p.273-286 [Periódico revisado por pares]

United States: Elsevier B.V

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