Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Thanh-Nghia NGUYEN"'
Publikováno v:
AgriEngineering, Vol 4, Iss 4, Pp 871-887 (2022)
Tomato leaves can have different diseases which can affect harvest performance. Therefore, accurate classification for the early detection of disease for treatment is very important. This article proposes one classification model, in which 16,010 tom
Externí odkaz:
https://doaj.org/article/a4666f6a115146a3aa3c8bcd08d145e0
Publikováno v:
Applied Computer Science, Vol 18, Iss 3, Pp 19-30 (2022)
The determination of the R peak position in the ECG signal helps physicians not only to know the heart rate per minute, but also to monitor the patient’s health related to heart disease. This paper proposes a system to accurately determine the R pe
Externí odkaz:
https://doaj.org/article/5f33670d1f0447cea2458e4181e913ca
Publikováno v:
Micromachines, Vol 14, Iss 7, p 1411 (2023)
Soft sensors are attracting much attention from researchers worldwide due to their versatility in practical projects. There are already many applications of soft sensors in aspects of life, consisting of human-robot interfaces, flexible electronics,
Externí odkaz:
https://doaj.org/article/825b8997877245dcaea37613b0c44339
Autor:
Duy-Thao Nguyen, Thanh-Nghia Nguyen
Publikováno v:
Computer Science & Information Technologies; Jul2024, Vol. 5 Issue 2, p186-194, 9p
Publikováno v:
AgriEngineering; Volume 4; Issue 4; Pages: 871-887
Tomato leaves can have different diseases which can affect harvest performance. Therefore, accurate classification for the early detection of disease for treatment is very important. This article proposes one classification model, in which 16,010 tom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a86c2f7222496b0c97a76f8750936d34
Publikováno v:
Telkomnika. Apr2020, Vol. 18 Issue 2, p936-944. 9p.
Publikováno v:
2022 6th International Conference on Green Technology and Sustainable Development (GTSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e8dc5dd9fcef2a71845df204cc6d9fb
https://doi.org/10.1109/gtsd54989.2022.9989206
https://doi.org/10.1109/gtsd54989.2022.9989206
Publikováno v:
European Journal of Engineering and Technology Research. 6:6-12
In the electroencephalography (EEG) study, eye blinks are a commonly known type of ocular artifact that appears most frequently in any EEG measurement. The artifact can be seen as spiking electrical potentials in which their time-frequency properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c70cd5a3f36783efb04390b64052ea8
https://doi.org/10.24018/ejeng.2021.6.4.2438
https://doi.org/10.24018/ejeng.2021.6.4.2438
Publikováno v:
Electronics. 12:2389
An accurate and compact electrocardiogram (ECG) device will greatly assist doctors in diagnosing heart diseases. It will also help to address the increasing number of deaths caused by heart disease. Accordingly, the goal of the project is to design a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfa876eb61d43bfd742b9019bac17af6
https://doi.org/10.3390/electronics12112389
https://doi.org/10.3390/electronics12112389
Autor:
Thanh-Hai Nguyen, Thanh-Nghia Nguyen
Publikováno v:
Elektronika ir Elektrotechnika. 27:48-59
Heart disease classification with high accuracy can support the physician’s correct decision on patients. This paper proposes a kernel size calculation based on P, Q, R, and S waves of one heartbeat to enhance classification accuracy in a deep lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ef3127cb267460ba26c6c999fd65d1
https://doi.org/10.5755/j02.eie.27642
https://doi.org/10.5755/j02.eie.27642