Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hyunho Mo"'
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 27, Iss 1, Pp 164-171 (2020)
Predicting accurate remaining useful life (RUL) of components plays a crucial role in making optimal decision for maintenance management. As sensor technology developed, multiple heterogeneous sensors are being used to collect information for monitor
Externí odkaz:
https://doaj.org/article/70d466b02da34b398bd76905336b58f0
Publikováno v:
Algorithms, Vol 15, Iss 3, p 98 (2022)
Remaining useful life (RUL) prediction is a key enabler for predictive maintenance. In fact, the possibility of accurately and reliably predicting the RUL of a system, based on a record of its monitoring data, can allow users to schedule maintenance
Externí odkaz:
https://doaj.org/article/39ecf9505ddc40cfb6aa2d829a1fdebf
Autor:
Hyunho Mo, Giovanni Iacca
Publikováno v:
Materials and Manufacturing Processes. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4695df6b6876d3469a6a46752f2d4d7c
https://doi.org/10.1080/10426914.2023.2199499
https://doi.org/10.1080/10426914.2023.2199499
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031024610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc0466aeb07e82ba39f0fc4e226f94a0
https://doi.org/10.1007/978-3-031-02462-7_28
https://doi.org/10.1007/978-3-031-02462-7_28
Autor:
Hyunho Mo, Giovanni Iacca
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031024610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8982a48999b6b9a3e52cc4e695b95f2e
https://doi.org/10.1007/978-3-031-02462-7_13
https://doi.org/10.1007/978-3-031-02462-7_13
Publikováno v:
Applied Soft Computing. 108:107474
With the advent of Industry 4.0, making accurate predictions of the remaining useful life (RUL) of industrial components has become a crucial aspect in predictive maintenance (PdM). To this aim, various Deep Neural Network (DNN) models have been prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7a9992317bb28f72dfd45ec9a71a74
https://doi.org/10.1016/j.asoc.2021.107474
https://doi.org/10.1016/j.asoc.2021.107474
Publikováno v:
ICFHR
In recent years CNNs took over in various fields of computer vision. Adapted to document image analysis, they achieved state-of-the-art performance in word spotting by predicting word string embeddings. One prominent embedding splits a given string i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2659f92fc024caceacc4a2d739794a65
https://doi.org/10.1109/icfhr-2018.2018.00016
https://doi.org/10.1109/icfhr-2018.2018.00016
A Spatial Indexing Scheme for Location Based Service Queries in a Single Wireless Broadcast Channel.
Autor:
SUNGWON JUNG, HYUNHO MO
Publikováno v:
Journal of Information Science & Engineering; Nov2014, Vol. 30 Issue 6, p1945-1963, 19p