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.
引用
收藏
页数：5
相关论文
共 50 条
  • [1] Embedded system for road damage detection by deep convolutional neural network
    Chen, Siyu
    Zhang, Yin
    Zhang, Yuhang
    Yu, Jiajia
    Zhu, Yanxiang
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2019, 16 (06) : 7982 - 7994
  • [2] A depthwise separable convolutional neural network for keyword spotting on an embedded system
    Sorensen, Peter Molgaard
    Epp, Bastian
    May, Tobias
    [J]. EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING, 2020, 2020 (01)
  • [3] A depthwise separable convolutional neural network for keyword spotting on an embedded system
    Peter Mølgaard Sørensen
    Bastian Epp
    Tobias May
    [J]. EURASIP Journal on Audio, Speech, and Music Processing, 2020
  • [4] Evaluating Resources Cost of a Convolutional Neural Network Aiming an Embedded System
    de Albuquerque, Levi Moreira
    da Silva Junior, Elias Teodoro
    [J]. 2018 VIII BRAZILIAN SYMPOSIUM ON COMPUTING SYSTEMS ENGINEERING (SBESC 2018), 2018, : 172 - 177
  • [5] WETLAND MAPPING BY JOINTLY USE OF CONVOLUTIONAL NEURAL NETWORK AND GRAPH CONVOLUTIONAL NETWORK
    Jafarzadeh, Hamid
    Mahdianpari, Masoud
    Gill, Eric
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2219 - 2222
  • [6] DEEP CONVOLUTIONAL NEURAL NETWORK FOR MANGROVE MAPPING
    Iovan, Corina
    Kulbicki, Michel
    Mermet, Eric
    [J]. IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 1969 - 1972
  • [7] VersaTile Convolutional Neural Network Mapping on FPGAs
    Munio-Gracia, A.
    Fernandez-Berni, J.
    Carmona-Galan, R.
    Rodriguez-Vazquez, A.
    [J]. 2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2020,
  • [8] A Deep Convolutional Spiking Neural Network for embedded applications
    Javanshir, Amirhossein
    Nguyen, Thanh Thi
    Mahmud, M. A. Parvez
    Kouzani, Abbas Z.
    [J]. PROGRESS IN ARTIFICIAL INTELLIGENCE, 2024, 13 (01) : 1 - 15
  • [9] Separable Binary Convolutional Neural Network on Embedded Systems
    Liu, Renping
    Chen, Xianzhang
    Liu, Duo
    Ling, Yingjian
    Wang, Weilue
    Tan, Yujuan
    Xiao, Chunhua
    Yang, Chaoshu
    Zhang, Runyu
    Liang, Liang
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 2020, 69 (10) : 1474 - 1486
  • [10] A Deep Convolutional Spiking Neural Network for embedded applications
    Amirhossein Javanshir
    Thanh Thi Nguyen
    M. A. Parvez Mahmud
    Abbas Z. Kouzani
    [J]. Progress in Artificial Intelligence, 2024, 13 : 1 - 15
12345