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Refinado por: idioma: Japonês remover assunto: Technology remover
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SymPy: symbolic computing in Python
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SymPy: symbolic computing in Python

Meurer, Aaron ; Smith, Christopher P ; Paprocki, Mateusz ; Certík, Ondrej ; Kirpichev, Sergey B ; Rocklin, Matthew ; Kumar, AMiT ; Ivanov, Sergiu ; Moore, Jason K ; Singh, Sartaj ; Rathnayake, Thilina ; Vig, Sean ; Granger, Brian E ; Muller, Richard P ; Bonazzi, Francesco ; Gupta, Harsh ; Vats, Shivam ; Johansson, Fredrik ; Pedregosa, Fabian ; Curry, Matthew J ; Terrel, Andy R ; Roucka, Stepán ; Saboo, Ashutosh ; Fernando, Isuru ; Kulal, Sumith ; Cimrman, Robert ; Scopatz, Anthony

PeerJ Comput.Sci, 2017-01, Vol.3, p.e103, Article e103 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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2
Engineering 2D Architectures toward High‐Performance Micro‐Supercapacitors
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Engineering 2D Architectures toward High‐Performance Micro‐Supercapacitors

Da, Yumin ; Liu, Jinxin ; Zhou, Lu ; Zhu, Xiaohui ; Chen, Xiaodong ; Fu, Lei

Advanced materials (Weinheim), 2019-01, Vol.31 (1), p.e1802793-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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3
Implementing Smart Factory of Industrie 4.0: An Outlook
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Implementing Smart Factory of Industrie 4.0: An Outlook

Wang, Shiyong ; Wan, Jiafu ; Li, Di ; Zhang, Chunhua Qiu, Meikang

International journal of distributed sensor networks, 2016-01, Vol.2016 (1), p.3159805 [Periódico revisado por pares]

London, England: Hindawi Publishing Corporation

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4
Remote Sensing Image Scene Classification Using CNN-CapsNet
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Remote Sensing Image Scene Classification Using CNN-CapsNet

Zhang, Wei ; Tang, Ping ; Zhao, Lijun

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.494 [Periódico revisado por pares]

Basel: MDPI AG

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5
High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel
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High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel

DeCost, Brian L. ; Lei, Bo ; Francis, Toby ; Holm, Elizabeth A.

Microscopy and microanalysis, 2019-02, Vol.25 (1), p.21-29 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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6
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning
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Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning

Xu, Yongyang ; Xie, Zhong ; Feng, Yaxing ; Chen, Zhanlong

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1461 [Periódico revisado por pares]

Basel: MDPI AG

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7
Microstructural Engineering and Architectural Design of Metal–Organic Framework Membranes
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Microstructural Engineering and Architectural Design of Metal–Organic Framework Membranes

Liu, Yi ; Ban, Yujie ; Yang, Weishen

Advanced materials (Weinheim), 2017-08, Vol.29 (31), p.n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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8
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
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Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Ghosh, Kunal ; Stuke, Annika ; Todorović, Milica ; Jørgensen, Peter Bjørn ; Schmidt, Mikkel N. ; Vehtari, Aki ; Rinke, Patrick

Advanced science, 2019-05, Vol.6 (9), p.1801367-n/a [Periódico revisado por pares]

Germany: John Wiley & Sons, Inc

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9
Sub-grid scale model classification and blending through deep learning
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Sub-grid scale model classification and blending through deep learning

Maulik, Romit ; San, Omer ; Jacob, Jamey D. ; Crick, Christopher

Journal of fluid mechanics, 2019-07, Vol.870, p.784-812 [Periódico revisado por pares]

Cambridge, UK: Cambridge University Press

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10
Perfection of Perovskite Grain Boundary Passivation by Eu‐Porphyrin Complex for Overall‐Stable Perovskite Solar Cells
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Perfection of Perovskite Grain Boundary Passivation by Eu‐Porphyrin Complex for Overall‐Stable Perovskite Solar Cells

Feng, Xiaoxia ; Chen, Ruihao ; Nan, Zi‐Ang ; Lv, Xudong ; Meng, Ruiqian ; Cao, Jing ; Tang, Yu

Advanced science, 2019-03, Vol.6 (5), p.1802040-n/a [Periódico revisado por pares]

Germany: John Wiley & Sons, Inc

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