Zobrazeno 1 - 7
of 7
pro vyhledávání: '"mobilenets convolutional neural network model"'
Application of MobileNets Convolutional Neural Network Model in Detecting Tomato Late Blight Disease
Publikováno v:
Tanzania Journal of Science; Vol. 48 No. 4 (2022); 913-926
Late blight (LB) disease causes significant annual losses in tomato production. Early identification of this disease is crucial in halting its severity. This study aimed to leverage the strength of Convolutional Neural Networks (CNNs) in automated pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b9b7ce3f4a508440ae703abebbab208
https://doi.org/10.4314/tjs.v48i4.17
https://doi.org/10.4314/tjs.v48i4.17
Publikováno v:
IEEE Access, Vol 7, Pp 150226-150236 (2019)
With the construction and promotion of the Ubiquitous Power Internet of Things (UPIoT), it is an increasingly urgent challenge to comprehensively improve the recognition accuracy of the gas-insulated switchgear (GIS) partial discharge (PD), and to in
Externí odkaz:
https://doaj.org/article/eb731d07d08e4686807fff2ce76388d9
Publikováno v:
IEEE Access, Vol 7, Pp 150226-150236 (2019)
With the construction and promotion of the Ubiquitous Power Internet of Things (UPIoT), it is an increasingly urgent challenge to comprehensively improve the recognition accuracy of the gas-insulated switchgear (GIS) partial discharge (PD), and to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaa6999bcf927c6033932fd4aea7b072
https://ieeexplore.ieee.org/document/8865063/
https://ieeexplore.ieee.org/document/8865063/
Autor:
Zhao, Ling1 (AUTHOR) mirror_zl@nepu.edu.cn, Sun, Xianda2 (AUTHOR) sunxianda@nepu.edu.cn, Liu, Fang1 (AUTHOR) liufang@nepu.edu.cn, Wang, Pengzhen3 (AUTHOR) wangpengzhen@petrochina.com.cn, Chang, Lijuan1 (AUTHOR) clj_627@nepu.edu.cn
Publikováno v:
Energies (19961073). Aug2022, Vol. 15 Issue 15, p5367-5367. 12p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Energies, Vol 15, Iss 15, p 5367 (2022)
In this paper, a microscopic oil displacement visualization experiment based on the glass etching model to simulate the tight oil reservoir of underground rocks is carried out. At present, water flooding technology is widely used in the development o
Externí odkaz:
https://doaj.org/article/ab409e9140eb4689b4f9ee7d3f5708b0
This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16–17, 2023. Thi
