Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Shangping Ren"'
Autor:
Fatemeh Asgarinejad, Anthony Thomas, Ryan Hildebrant, Zhenyu Zhang, Shangping Ren, Tajana Rosing, Baris Aksanli
Publikováno v:
Information, Vol 15, Iss 8, p 490 (2024)
There is a growing interest in the early prediction of outcomes in ongoing business processes. Predictive process monitoring distills knowledge from the sequence of event data generated and stored during the execution of processes and trains models o
Externí odkaz:
https://doaj.org/article/106a286732d54012aa46bb3a5a0dd1dc
Autor:
Anita C. Chandrasekaran, Zhicheng Fu, Reid Kraniski, F. Perry Wilson, Shannon Teaw, Michelle Cheng, Annie Wang, Shangping Ren, Imran M. Omar, Monique E. Hinchcliff
Publikováno v:
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-9 (2021)
Abstract Background Although treatments have been proposed for calcinosis cutis (CC) in patients with systemic sclerosis (SSc), a standardized and validated method for CC burden quantification is necessary to enable valid clinical trials. We tested t
Externí odkaz:
https://doaj.org/article/b6ac1db93128497790cf9eabcf09ff22
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 3, Iss 2, Pp 175-199 (2007)
Externí odkaz:
https://doaj.org/article/ee459a2eabf942fd9d96402d5d6f3d1d
Publikováno v:
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d6a5920701bc8cf47092609cfb01f17
https://doi.org/10.1109/compsac54236.2022.00047
https://doi.org/10.1109/compsac54236.2022.00047
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 4:1-25
During the system development process, domain experts and developers often make assumptions about specifications and implementations. However, most of the assumptions being taken for granted by domain experts and developers are too tedious to be docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ec753323a5c4cb94e45477868f7d8bd
https://doi.org/10.1145/3375405
https://doi.org/10.1145/3375405
Publikováno v:
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f0546194df68a5145e9cc1cd0c93541
https://doi.org/10.1109/smc52423.2021.9658861
https://doi.org/10.1109/smc52423.2021.9658861
Publikováno v:
CBI (1)
Process Mining is a technique for extracting process models from event logs. Event logs contain abundant explicit information related to events, such as the timestamp and the actions that trigger the event. Much of the existing process mining researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0283321d929c5263112fccf52ce4c7f2
https://doi.org/10.1109/cbi52690.2021.00028
https://doi.org/10.1109/cbi52690.2021.00028
Publikováno v:
IEEE Internet of Things Journal. 6:6276-6284
Improving patient care safety is an ultimate objective for medical cyber-physical systems. A recent study shows that the patients’ death rate can be significantly reduced by computerizing medical best practice guidelines. To facilitate the developm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b49045ca230fe43201bf788832773d4
https://doi.org/10.1109/jiot.2018.2879475
https://doi.org/10.1109/jiot.2018.2879475
Publikováno v:
AIKE
Event logs contain abundant information, such as activity names, time stamps, activity executors, etc. However, much of existing trace clustering research has been focused on applying activity names to assist process scenarios discovery. In addition,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567ce7eee024729e297b79f7faa6b021
https://doi.org/10.1109/aike48582.2020.00017
https://doi.org/10.1109/aike48582.2020.00017
Publikováno v:
Journal of Systems Architecture. 125:102435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880ae2da7e2c1d4e6d5f3d2ea5af745a
https://doi.org/10.1016/j.sysarc.2022.102435
https://doi.org/10.1016/j.sysarc.2022.102435