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Refinado por: assunto: Methods remover assunto: Neural Networks remover
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11
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning
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Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning

Panboonyuen, Teerapong ; Jitkajornwanich, Kulsawasd ; Lawawirojwong, Siam ; Srestasathiern, Panu ; Vateekul, Peerapon

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (1), p.83 [Periódico revisado por pares]

Basel: MDPI AG

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12
Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique
Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique
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Image-Based Concrete Crack Detection Using Convolutional Neural Network and Exhaustive Search Technique

Li, Shengyuan ; Zhao, Xuefeng Ozmen, Hayri Baytan ; Hayri Baytan Ozmen

Advances in Civil Engineering, 2019-01, Vol.2019, p.1-12

New York: Hindawi

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13
An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences
An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences
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An improved deep learning method for predicting DNA-binding proteins based on contextual features in amino acid sequences

Hu, Siquan ; Ma, Ruixiong ; Wang, Haiou Shahamiri, Seyed Reza

PloS one, 2019-11, Vol.14 (11), p.e0225317-e0225317 [Periódico revisado por pares]

United States: Public Library of Science

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14
Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features
Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features
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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features

Yao, Xuedong ; Yang, Hui ; Wu, Yanlan ; Wu, Penghai ; Wang, Biao ; Zhou, Xinxin ; Wang, Shuai

Sensors (Basel, Switzerland), 2019-06, Vol.19 (12), p.2792 [Periódico revisado por pares]

Switzerland: MDPI AG

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15
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation
ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation
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ECNet: Efficient Convolutional Networks for Side Scan Sonar Image Segmentation

Wu, Meihan ; Wang, Qi ; Rigall, Eric ; Li, Kaige ; Zhu, Wenbo ; He, Bo ; Yan, Tianhong

Sensors (Basel, Switzerland), 2019-04, Vol.19 (9), p.2009 [Periódico revisado por pares]

Switzerland: MDPI AG

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16
Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete
Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete
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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete

Chopra, Palika ; Sharma, Rajendra Kumar ; Kumar, Maneek ; Chopra, Tanuj Rossi, Pier Paolo ; Pier Paolo Rossi

Advances in Civil Engineering, 2018-01, Vol.2018, p.1-9

New York: Hindawi

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17
Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network
Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network
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Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network

Wu, Penghai ; Yin, Zhixiang ; Yang, Hui ; Wu, Yanlan ; Ma, Xiaoshuang

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.300 [Periódico revisado por pares]

Basel: MDPI AG

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18
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms
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Fundus images analysis using deep features for detection of exudates, hemorrhages and microaneurysms

Khojasteh, Parham ; Aliahmad, Behzad ; Kumar, Dinesh K

BMC ophthalmology, 2018-11, Vol.18 (1), p.288-288, Article 288 [Periódico revisado por pares]

England: BioMed Central Ltd

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19
Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text
Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text
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Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text

Li, Zhiheng ; Yang, Zhihao ; Shen, Chen ; Xu, Jun ; Zhang, Yaoyun ; Xu, Hua

BMC medical informatics and decision making, 2019-01, Vol.19 (Suppl 1), p.22-22, Article 22 [Periódico revisado por pares]

England: BioMed Central Ltd

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20
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles
A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles
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A Personalized Behavior Learning System for Human-Like Longitudinal Speed Control of Autonomous Vehicles

Lu, Chao ; Gong, Jianwei ; Lv, Chen ; Chen, Xin ; Cao, Dongpu ; Chen, Yimin

Sensors (Basel, Switzerland), 2019-08, Vol.19 (17), p.3672 [Periódico revisado por pares]

Switzerland: MDPI AG

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