Zobrazeno 1 - 10
of 44
pro vyhledávání: '"S Selvakumar Raja"'
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291777 (2023)
At present, the fault diagnosis of pumping units in major oil fields in China is time-consuming and inefficient, and there is no universal problem for high requirements of hardware resources. In this study, a fault fusion diagnosis method of pumping
Externí odkaz:
https://doaj.org/article/56fe2ff3881445bc9c1f1da2f284514a
Publikováno v:
Shock and Vibration, Vol 2022 (2022)
This paper aims at the shortcomings of the current conventional processing methods of bearing fault vibration signals in improving signal-to-noise ratio, fine feature extraction, and recognition. A feature extraction and recognition method of abnorma
Externí odkaz:
https://doaj.org/article/992e0fc5914c4b5c9978e16329541bc0
Autor:
Li Bowen, S Selvakumar Raja, Li Jiajun, Yao Zejun, Song Wenguang, Li Haoyuan, Lan Changtao, Kon Mawien
For the current oilfield pumping machine fault diagnosis, there are time-consuming and inefficient problems, and at the same time high requirements for hardware resources and no universality, this study proposes a pumping machine fault diagnosis meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd37e78e2e91f3a535c0a60c7ab29499
https://doi.org/10.21203/rs.3.rs-2878163/v1
https://doi.org/10.21203/rs.3.rs-2878163/v1
Autor:
M. Ayyadurai, S. Selvakumar Raja
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 12:5359-5370
Underwater acoustic network is introduced in recent times to explore the resources available in an underwater environment. The scientific data are collected, and the data packets are transmitted to the onshore base station through the acoustic networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d7ddb194db3b5a4201094dfe91717c8
https://doi.org/10.1007/s12652-020-02018-7
https://doi.org/10.1007/s12652-020-02018-7
Publikováno v:
Multimedia Tools and Applications. 79:10099-10122
Image segmentation and classification are indispensable steps in the therapeutic image processing. Clustering based methods plays an inevitable role in the segmentation stage of the biomedical images especially for distinguishingcerebrum tumors from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51172246af1a4bea5810ccea38970b9e
https://doi.org/10.1007/s11042-019-08089-9
https://doi.org/10.1007/s11042-019-08089-9
Autor:
M. Ayyadurai, S. Selvakumar Raja
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:273-273
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28db513e8f67eb66f70407d567f2c5db
https://doi.org/10.1007/s12652-022-04061-y
https://doi.org/10.1007/s12652-022-04061-y
Autor:
R. M. Bommi, S. Selvakumar Raja
Publikováno v:
Mobile Networks and Applications. 24:224-233
Design of Reversible logic gate enabled Reconfigurable Direct digital synthesizer is evaluated here. The need for Direct Digital Synthesizers (DDS) inherently finds application in the area of radio frequency communication. DDS is a method of producin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eba34ee0f1eab15ec544d62df2d442f1
https://doi.org/10.1007/s11036-018-1200-2
https://doi.org/10.1007/s11036-018-1200-2
Autor:
J. Seetha, S. Selvakumar Raja
Publikováno v:
Biomedical and Pharmacology Journal. 11:1457-1461
The brain tumors, are the most common and aggressive disease, leading to a very short life expectancy in their highest grade. Thus, treatment planning is a key stage to improve the quality of life of patients. Generally, various image techniques such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2931359df582b7ac030c5e059b833dd2
https://doi.org/10.13005/bpj/1511
https://doi.org/10.13005/bpj/1511
Publikováno v:
2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW).
Intensive researches are being carried out to study the abnormalities present in the brain structures and to detect the type of tumors based on the statistical and textural features extracted from the medical images. In MRI imaging, the images may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3574dba8b99ea97fe23d033ee6d2e2
https://doi.org/10.1109/imicpw.2019.8933239
https://doi.org/10.1109/imicpw.2019.8933239
Publikováno v:
2019 International Conference on Communication and Signal Processing (ICCSP).
Quantitative analysis of many neurological diseases depends on automated and accurate segmentation and classification of structures. Nowadays, the deep learning based image classification and segmentation methods have gained interest of research beca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::137076d2522d2d48bb50f58ec5ecf8e5
https://doi.org/10.1109/iccsp.2019.8697915
https://doi.org/10.1109/iccsp.2019.8697915