Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fatemeh Asgarinejad"'
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
Publikováno v:
Sensors, Vol 24, Iss 3, p 1014 (2024)
Traditional systems for indoor pressure sensing and human activity recognition (HAR) rely on costly, high-resolution mats and computationally intensive neural network-based (NN-based) models that are prone to noise. In contrast, we design a cost-effe
Externí odkaz:
https://doaj.org/article/a171a9c6150944c49fc79b9d4af60217
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:
DATE
In this paper, we propose TruLook, a framework that employs approximate computing techniques for GPU acceleration through computation reuse as well as approximate arithmetic operations to eliminate redundant and unnecessary exact computations. To ena
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac63d26fbd588050fde2d82b27290c07
https://doi.org/10.23919/date51398.2021.9474239
https://doi.org/10.23919/date51398.2021.9474239
Autor:
Behnam Khaleghi, Anthony Thomas, Tajana Rosing, Yeseong Kim, Sahand Salamat, Fatemeh Asgarinejad
Publikováno v:
ISLPED
Hyperdimensional computing (HD) is an emerging paradigm for machine learning based on the evidence that the brain computes on high-dimensional, distributed, representations of data. The main operation of HD is encoding, which transfers the input data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e21ad28d64bea394cf9f174c46d099e
https://doi.org/10.1145/3370748.3406587
https://doi.org/10.1145/3370748.3406587
Publikováno v:
EMBC
Recent years have seen a growing interest in the development of non-invasive devices capable of detecting seizures which can be worn in everyday life. Such devices must be lightweight and unobtrusive which severely limit their on-board computing powe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27ad53f2be67873f849f8d79e821c467
https://doi.org/10.1109/embc44109.2020.9175328
https://doi.org/10.1109/embc44109.2020.9175328