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Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network
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Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network

Nikparvar, Behnam ; Rahman, Md Mokhlesur ; Hatami, Faizeh ; Thill, Jean-Claude

Scientific reports, 2021-11, Vol.11 (1), p.21715-21715, Article 21715 [Periódico revisado por pares]

England: Nature Publishing Group

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The Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of Training Datasets for Object Detection in UAV Images
The Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of Training Datasets for Object Detection in UAV Images
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The Influence of Point Cloud Accuracy from Image Matching on Automatic Preparation of Training Datasets for Object Detection in UAV Images

Zachar, Paulina ; Ostrowski, Wojciech ; Płatek-Żak, Anna ; Kurczyński, Zdzisław

ISPRS international journal of geo-information, 2022-11, Vol.11 (11), p.565 [Periódico revisado por pares]

Basel: MDPI AG

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Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
Exploring best-matched embedding model and classifier for charging-pile fault diagnosis
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Exploring best-matched embedding model and classifier for charging-pile fault diagnosis

Wang, Wen ; Wang, Jianhua ; Peng, Xiaofeng ; Yang, Ye ; Xiao, Chun ; Yang, Shuai ; Wang, Mingcai ; Wang, Lingfei ; Li, Lin ; Chang, Xiaolin

Cybersecurity, 2023-12, Vol.6 (1), p.7-13, Article 7 [Periódico revisado por pares]

Singapore: Springer Nature Singapore

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APPLICATION OF MACHINE LEARNING FOR OBJECT DETECTION IN OBLIQUE AERIAL IMAGES
APPLICATION OF MACHINE LEARNING FOR OBJECT DETECTION IN OBLIQUE AERIAL IMAGES
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APPLICATION OF MACHINE LEARNING FOR OBJECT DETECTION IN OBLIQUE AERIAL IMAGES

Zachar, P. ; Kurczyński, Z. ; Ostrowski, W.

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022-01, Vol.XLIII-B2-2022, p.657-663 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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