Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Malik Mohamed Umar"'
Publikováno v:
IEEE Access, Vol 11, Pp 108041-108049 (2023)
The length of the communication cables is a significant indicator of signal integrity. The associated scattering parameters characteristics of a communication cable effectively enable its length estimation. This paper proposes a novel machine learnin
Externí odkaz:
https://doaj.org/article/a662af67c8e249e48e9196674f1a52fb
Publikováno v:
Data in Brief, Vol 32, Iss , Pp 106215- (2020)
This work is to explicate the data collected during the turning of AISI 1045 alloy steel components in near dry condition with emulsified cutting fluids prepared from cooking oils such as Palm oil and Peanut oil. The base oils are tested for its rela
Externí odkaz:
https://doaj.org/article/7a30915246ec44bea3ae5a54b5bdf641
Autor:
Malik Mohamed Umar, Veena Raj, Liyanage C De Silva, Muhammad Saifullah Abu Bakar, Mohamad Iskandar Petra
Publikováno v:
2022 International Conference on Futuristic Technologies (INCOFT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13a99b708cbd7501516c0dd2e29f4254
https://doi.org/10.1109/incoft55651.2022.10094511
https://doi.org/10.1109/incoft55651.2022.10094511
Publikováno v:
Machine Learning and IoT for Intelligent Systems and Smart Applications ISBN: 9781003194415
Machine Learning and IoT for Intelligent Systems and Smart Applications
Machine Learning and IoT for Intelligent Systems and Smart Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d867f6ad810c03257b246b9bf2645f4
https://doi.org/10.1201/9781003194415-4
https://doi.org/10.1201/9781003194415-4
Publikováno v:
Data in Brief, Vol 32, Iss, Pp 106215-(2020)
Data in Brief
Data in Brief
This work is to explicate the data collected during the turning of AISI 1045 alloy steel components in near dry condition with emulsified cutting fluids prepared from cooking oils such as Palm oil and Peanut oil. The base oils are tested for its rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49fe6f1ee217992396cfc12bf81c6ab5
http://www.sciencedirect.com/science/article/pii/S2352340920311094
http://www.sciencedirect.com/science/article/pii/S2352340920311094
Publikováno v:
ICSPS
Image processing has been widely used in various applications of object detections based on edges, motion and color detection. However edge, motion and color detection methods alone cannot accurately detect and identify events like the onset of fire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fce4cfac5cbe6cb58ae552fc4a2ae91
https://doi.org/10.1145/3163080.3163100
https://doi.org/10.1145/3163080.3163100
Publikováno v:
International Journal of Signal and Imaging Systems Engineering. 10:22
In this paper we present a comprehensive review of the state of the art of smoke and fire detection techniques using image processing. Smoke is a good indicator of a pre-fire condition and many fires are indicators of subsequent dangerous situations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3477999e78288b5272f56289c2b56f
https://doi.org/10.1504/ijsise.2017.084566
https://doi.org/10.1504/ijsise.2017.084566