Convolutional Neural Network on Embedded System A technological and scientific mapping

被引：0
|
作者：
Florencio, Felipe de Almeida [1 ]
Moreno, Edward David [1 ]
机构：
[1] Univ Fed Sergipe, Sao Cristovao, Sergipe, Brazil
来源：
PROCEEDINGS OF THE 10TH EURO-AMERICAN CONFERENCE ON TELEMATICS AND INFORMATION SYSTEMS (EATIS 2020) | 2020年
关键词：
Convolutional Neural Network; Embedded System; Scientific Mapping; Technological Mapping;
D O I：
10.1145/3401895.3402086
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Context: The popularization of the use of Convolutional Neural Networks has created new challenges such as the use in embedded systems applications. Scientists, developers and organizations need to analyze the evolution of the field in industry and academia. Objective: To analyze the evolution of the area of Convolutional Neural Networks in industry and academia comparing the development between them. Methodology: A scientific mapping was conducted to analyze the scientific research in the field and a technological mapping was conducted to analyze the technological development in the field. Results: We identified 545 scientific papers and 33 patent applications. Conclusion: There is still a big difference between scientific development and technological development of the area, but the evolution of both is increasing.
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页数：5
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