Zobrazeno 1 - 10
of 2 443
pro vyhledávání: '"Streaming Data"'
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 414-422 (2024)
Due to its outstanding privacy-related characteristics, Federated Learning (FL) has recently become a popular solution for the IIoT’s data privacy and scalability issues. However, more research is needed to determine how unique streaming data in II
Externí odkaz:
https://doaj.org/article/24a5318071a04511ac0e45e77aa2bccb
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 26114-26138 (2024)
Quantile regression has been widely used in many fields because of its robustness and comprehensiveness. However, it remains challenging to perform the quantile regression (QR) of streaming data by a conventional methods, as they are all based on the
Externí odkaz:
https://doaj.org/article/cfa48a7ec5ea4ac88b4e9b667be852f1
Publikováno v:
Big Earth Data, Vol 8, Iss 1, Pp 115-141 (2024)
ABSTRACTRecent advances in big and streaming data systems have enabled real-time analysis of data generated by Internet of Things (IoT) systems and sensors in various domains. In this context, many applications require integrating data from several h
Externí odkaz:
https://doaj.org/article/1eb15fad22ff40748da5f74d4531e44d
Autor:
Andrey V. Timofeev
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 2, Pp 230-240 (2024)
A method for stabilizing structural anomaly detection under additive noise conditions as well as an algorithm for formal selection of the parameters of the solver rule in the structural anomaly detector based on the Robust Random Cut Forest (RRCF) m
Externí odkaz:
https://doaj.org/article/2215f8b473154068ae7877c1b783b77d
Autor:
Pei-Yu Dai, Yu-Cheng Wu, Ruey-Kai Sheu, Chieh-Liang Wu, Shu-Fang Liu, Pei-Yi Lin, Wei-Lin Cheng, Guan-Yin Lin, Huang-Chien Chung, Lun-Chi Chen
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Objective To address the challenge of assessing sedation status in critically ill patients in the intensive care unit (ICU), we aimed to develop a non-contact automatic classifier of agitation using artificial intelligence and deep learning.
Externí odkaz:
https://doaj.org/article/09373d6bdf394e0da6db6ed673b9d194
Autor:
Suchismit Mahapatra, Varun Chandola
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract Streaming adaptations of manifold learning based dimensionality reduction methods, such as Isomap, are based on the assumption that a small initial batch of observations is enough for exact learning of the manifold, while remaining streaming
Externí odkaz:
https://doaj.org/article/f2f64efca4cd49c9bb00a013edda4176
Publikováno v:
IEEE Access, Vol 12, Pp 56019-56032 (2024)
Internet of Things (IoT) devices are constantly producing vast amounts of data, necessitating efficient storage and processing to extract useful information. However, the models used to extract relevant information from IoT data are often hindered by
Externí odkaz:
https://doaj.org/article/fe56da5c90bf4226951a3c8f3bf167df
Publikováno v:
International Journal of Web Information Systems, 2023, Vol. 19, Issue 5/6, pp. 263-279.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJWIS-07-2023-0112
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 4, Pp 639-648 (2023)
Efficient regular-frequent pattern mining from sensors-produced data has become a challenge. The large volume of data leads to prolonged runtime, thus delaying vital predictions and decision makings which need an immediate response. So, using big dat
Externí odkaz:
https://doaj.org/article/a30cf3fcc8d9409c8e63fdcf808c16d4
Publikováno v:
Redai dili, Vol 43, Iss 10, Pp 1950-1960 (2023)
Industrial coordination constitutes a crucial aspect of regional integration, and evaluation of industrial collaboration holds significant practical importance in elucidating industrial processes and advancing industrial development. In this study, a
Externí odkaz:
https://doaj.org/article/fa23ed318487449d89ce7c8f94db18b7