Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Sihan Zeng"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss S2, Pp 31-37 (2019)
Abstract Background Medical event detection in narrative clinical notes of electronic health records (EHRs) is a task designed for reading text and extracting information. Most of the previous work of medical event detection treats the task as extrac
Externí odkaz:
https://doaj.org/article/13463d6212404f149fff372644f92606
Autor:
Sihan Zeng, Zhongliang Pan
Publikováno v:
Multimedia Tools and Applications. 81:5305-5324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f4f6313e897553f8ee18215a84ad3e
https://doi.org/10.1007/s11042-021-11777-0
https://doi.org/10.1007/s11042-021-11777-0
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:10155-10166
Human mobility prediction techniques are instrumental for many important applications including service management and city planning. Previous work looks at the inherent patterns of a user's historical trajectories to predict his/her future location.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b80e452b3553c81036c8f150b7be7736
https://doi.org/10.1109/tvt.2020.3002222
https://doi.org/10.1109/tvt.2020.3002222
Publikováno v:
ACM Transactions on Sensor Networks. 16:1-27
Large-scale micro-aerial vehicle (MAV) swarms provide promising solutions for situational awareness in applications such as environmental monitoring, urban surveillance, search and rescue, and so on. However, these scenarios do not provide localizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4d5248355c2a489c2870f316f327af
https://doi.org/10.1145/3382094
https://doi.org/10.1145/3382094
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7015b556d3140884d98bdf1e54033e4
https://doi.org/10.1109/cdc45484.2021.9683363
https://doi.org/10.1109/cdc45484.2021.9683363
Publikováno v:
Electric Power Systems Research. 212:108546
With the increasing penetration of distributed energy resources, distributed optimization algorithms have attracted significant attention for power systems applications due to their potential for superior scalability, privacy, and robustness to a sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f883b03a7fd8609540dcdb3c0cda936
https://doi.org/10.1016/j.epsr.2022.108546
https://doi.org/10.1016/j.epsr.2022.108546
We study a decentralized variant of stochastic approximation, a data-driven approach for finding the root of an operator under noisy measurements. A network of agents, each with its own operator and data observations, cooperatively find the fixed poi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b2b2a2b5b3357d6c34a16c2b37ef38b
Publikováno v:
COMPSAC (2)
Brain-inspired computing is a novel computing technology based on neural morphological engineering, which draws lessons from methods of human brain information processing and storage. Combining with the high-performance computing (HPC) platform, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df239471c81c63f8badb445f23bd964
https://doi.org/10.1109/compsac.2019.10278
https://doi.org/10.1109/compsac.2019.10278
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 19, Iss S2, Pp 31-37 (2019)
BMC Medical Informatics and Decision Making, Vol 19, Iss S2, Pp 31-37 (2019)
Background Medical event detection in narrative clinical notes of electronic health records (EHRs) is a task designed for reading text and extracting information. Most of the previous work of medical event detection treats the task as extracting conc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5d7657841ae9e64c8c99c7ce5ba35c0
https://doi.org/10.1186/s12911-019-0756-5
https://doi.org/10.1186/s12911-019-0756-5
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
With the wide adoption of mobile devices, it becomes increasingly important to understand how users use mobile apps. Knowing when and where certain apps are used is instrumental for app developers to improve app usability and for Internet service pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6db97cef38bf09db65ee2623eaf9f6f