Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Taha J. Alhindi"'
Autor:
Jaeseung Baek, Taha J. Alhindi, Young-Seon Jeong, Myong K. Jeong, Seongho Seo, Jongseok Kang, We Shim, Yoseob Heo
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce2c8353c233e997837a9eb227e6ea1d
https://doi.org/10.2139/ssrn.4333778
https://doi.org/10.2139/ssrn.4333778
Autor:
Myong K. Jeong, Young-Seon Jeong, Yoseob Heo, Jongseok Kang, Taha J. Alhindi, Seong-Ho Seo, Jaeseung Baek
Publikováno v:
IEEE Sensors Journal. 21:27982-27992
This paper presents a novel fire detection system to monitor various types of indoor building fires. While conventional studies mainly focus on developing separate fire sensing systems and detection algorithms, the proposed fire detection system inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d566aed7581063d4f6163275262f280
https://doi.org/10.1109/jsen.2021.3124266
https://doi.org/10.1109/jsen.2021.3124266
Autor:
Hyunsang Chung, Myong K. Jeong, Seong-Ho Seo, Young Seon Jeong, Taha J. Alhindi, Jaeseung Baek, Jaekyung Choi, Jongseok Kang
Publikováno v:
Fire Technology. 57:2929-2953
In recent years, the development of fire detectors has attracted the attention of researchers for the purpose of protecting human lives and properties from catastrophic fire disasters. However, monitoring fires is challenging due to several unique ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b89c8687f28f723ce7804aafa0d70afc
https://doi.org/10.1007/s10694-020-01062-1
https://doi.org/10.1007/s10694-020-01062-1
Autor:
Yoseob Heo, Young Seon Jeong, Jongseok Kang, Myong K. Jeong, Jaeseung Baek, Taha J. Alhindi, Seong-Ho Seo, We Shim
Publikováno v:
Fire Safety Journal. 123:103364
Fires are considered one of the most devastating accidents that could occur within a building. However, existing fire detection systems result in late fire detection or produce a high false alarm rate due to the complex patterns and temporal dynamics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be844b1b382dd56c081bd78e2370b62e
https://doi.org/10.1016/j.firesaf.2021.103364
https://doi.org/10.1016/j.firesaf.2021.103364
Publikováno v:
SMC
An extension of the Graph Model for Conflict Resolution (GMCR) is proposed to permit the investigation of a conflict model at the option level. The novel approach presented in this paper allows the computation of equilibrium strength and the calculat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8c12b9e142296b3f926639081b11efb
https://doi.org/10.1109/smc.2018.00085
https://doi.org/10.1109/smc.2018.00085
Publikováno v:
IJCNN
Medical image analysis has become a topic under the spotlight in recent years. There is a significant progress in medical image research concerning the usage of machine learning. However, there are still numerous questions and problems awaiting answe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0229f692ffa32ce0e66c5313c60cefcd
Publikováno v:
SMC
The conflict over the Asian Infrastructure Investment Bank (AIIB) involving China, the United States of America (USA), and Japan is analyzed within the paradigm of the Graph Model for Conflict Resolution to gain strategic insights and to predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b29cd1bc3d151656f20050c6b4bb57a
https://doi.org/10.1109/smc.2017.8123188
https://doi.org/10.1109/smc.2017.8123188