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Refinado por: idioma: Japonês remover Base de dados/Biblioteca: PubMed Central remover
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SymPy: symbolic computing in Python
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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Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
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Improving fatty acids production by engineering dynamic pathway regulation and metabolic control

Xu, Peng ; Li, Lingyun ; Zhang, Fuming ; Stephanopoulos, Gregory ; Koffas, Mattheos

Proceedings of the National Academy of Sciences - PNAS, 2014-08, Vol.111 (31), p.11299-11304 [Periódico revisado por pares]

United States: National Academy of Sciences

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3
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

Ma, Xiaolei ; Yu, Haiyang ; Wang, Yunpeng ; Wang, Yinhai Gomez-Gardenes, Jesus

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Periódico revisado por pares]

United States: Public Library of Science

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4
Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer's Disease Prediction From Mild Cognitive Impairment
Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer's Disease Prediction From Mild Cognitive Impairment
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Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer's Disease Prediction From Mild Cognitive Impairment

Lin, Weiming ; Tong, Tong ; Gao, Qinquan ; Guo, Di ; Du, Xiaofeng ; Yang, Yonggui ; Guo, Gang ; Xiao, Min ; Du, Min ; Qu, Xiaobo

Frontiers in neuroscience, 2018-11, Vol.12, p.777-777 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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5
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
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A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

Qiao, Ning ; Mostafa, Hesham ; Corradi, Federico ; Osswald, Marc ; Stefanini, Fabio ; Sumislawska, Dora ; Indiveri, Giacomo

Frontiers in neuroscience, 2015-04, Vol.9, p.141-141 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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6
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning
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DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning

Senaras, Caglar ; Niazi, M Khalid Khan ; Lozanski, Gerard ; Gurcan, Metin N Lo, Chung-Ming

PloS one, 2018-10, Vol.13 (10), p.e0205387 [Periódico revisado por pares]

United States: Public Library of Science

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7
Deep learning approach to peripheral leukocyte recognition
Deep learning approach to peripheral leukocyte recognition
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Deep learning approach to peripheral leukocyte recognition

Wang, Qiwei ; Bi, Shusheng ; Sun, Minglei ; Wang, Yuliang ; Wang, Di ; Yang, Shaobao Zhang, Jie

PloS one, 2019-06, Vol.14 (6), p.e0218808-e0218808 [Periódico revisado por pares]

United States: Public Library of Science

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8
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions
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TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions

Cang, Zixuan ; Wei, Guo-Wei Dunbrack, Roland L.

PLoS computational biology, 2017-07, Vol.13 (7), p.e1005690-e1005690 [Periódico revisado por pares]

United States: Public Library of Science

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9
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery
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A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery

Huang, Huasheng ; Deng, Jizhong ; Lan, Yubin ; Yang, Aqing ; Deng, Xiaoling ; Zhang, Lei Gonzalez-Andujar, Jose Luis

PloS one, 2018-04, Vol.13 (4), p.e0196302-e0196302 [Periódico revisado por pares]

United States: Public Library of Science

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10
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
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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