Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Keyvan Sasani"'
Publikováno v:
Sensors, Vol 20, Iss 7, p 1932 (2020)
Mobile health monitoring plays a central role in the future of cyber physical systems (CPS) for healthcare applications. Such monitoring systems need to process user data accurately. Unlike in other human-centered CPS, in healthcare CPS, the user fun
Externí odkaz:
https://doaj.org/article/35fcf54638f9400685c3cd9899e2195d
Publikováno v:
Sensors, Vol 20, Iss 1932, p 1932 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 7
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 7
Mobile health monitoring plays a central role in the future of cyber physical systems (CPS) for healthcare applications. Such monitoring systems need to process user data accurately. Unlike in other human-centered CPS, in healthcare CPS, the user fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fbff0ecfc35a6575af1a7d79ec5409c
https://www.mdpi.com/1424-8220/20/7/1932
https://www.mdpi.com/1424-8220/20/7/1932
Publikováno v:
EMBC
Recent advancements in mobile devices, data analysis, and wearable sensors render the capability of in-place health monitoring. Supervised machine learning algorithms, the core intelligence of these systems, learn from labeled training data. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5b2b26adcbf8526b35a1de3ea05b69
https://pubmed.ncbi.nlm.nih.gov/30440598
https://pubmed.ncbi.nlm.nih.gov/30440598
Publikováno v:
EMBC
Human activity recognition (HAR) is an important component in health-care systems. For example, it can enable context-aware applications such as elderly care and patient monitoring. Relying on a set of training data, supervised machine learning algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6b71f791f2502eefacc50a9171b8e87
https://doi.org/10.1109/embc.2018.8512533
https://doi.org/10.1109/embc.2018.8512533
Publikováno v:
IPDPS Workshops
Temporal graphs—graphs that change with time—are becoming increasingly relevant and important, especially in areas such as web graphs of documents, online social networks, and transportation traffic networks. In such areas, the exponential growth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::170f5e1d4bf46274cdce600f89532924
https://doi.org/10.1109/ipdpsw.2018.00183
https://doi.org/10.1109/ipdpsw.2018.00183
Autor:
Seyed Ali Rokni, Hassan Ghasemzadeh, Keyvan Sasani, Robert J. Downey, Alireza Ghods, Armin Shahrokni, Helen N. Catanese
Publikováno v:
Journal of geriatric oncology. 10(1)
PURPOSE: Gait speed in older patients with cancer is associated with mortality risk. One approach to assess gait speed is with the ‘Timed Up and Go’ (TUG) test. We utilized machine learning algorithms to automatically predict the results of the T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ffe6edf571cfdb93493c9b7d2dcdcc8
https://pubmed.ncbi.nlm.nih.gov/30017733
https://pubmed.ncbi.nlm.nih.gov/30017733
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783319914510
DASFAA (1)
DASFAA (1)
We propose a general framework for predicting graph query performance with respect to three performance metrics: execution time, query answer quality, and memory consumption. The learning framework generates and makes use of informative statistics fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2920b7d43297c4c61151186d9d78b5de
https://doi.org/10.1007/978-3-319-91452-7_19
https://doi.org/10.1007/978-3-319-91452-7_19
Publikováno v:
BCB
Mobile health monitoring plays a central role in a variety of health-care applications. Using mobile technology, health-care providers can access clinical information and communicate with subjects in real-time. Due to the sensitive nature of health-c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b737c827e3896edd53594dd5cc73e92a
https://doi.org/10.1145/3107411.3107430
https://doi.org/10.1145/3107411.3107430
Publikováno v:
NDA@SIGMOD
Query performance prediction has shown benefits to query optimization and resource allocation for relational databases. Emerging applications are leading to search scenarios where workloads with heterogeneous, structure-less analytical queries are pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace31a86394ce25194b7213389fcbdc0
https://doi.org/10.1145/3068943.3068947
https://doi.org/10.1145/3068943.3068947
Publikováno v:
ICDE
This demo presents BEAMS, a system that automatically discovers and monitors top-k complex events over graph streams. Unlike conventional event detection over streams of items, BEAMS is able to (1) characterize and detect complex events in dynamic ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23844abc8ab32d2f7a8499ba861a6dfe
https://doi.org/10.1109/icde.2017.189
https://doi.org/10.1109/icde.2017.189