Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Harideep Nair"'
Autor:
Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Shunwen Tan, Ole J. Mengshoel, John Paul Shen
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/53e32fc399ed4d8f91d0664dc8ea4030
Autor:
Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Shunwen Tan, Ole J. Mengshoel, John Paul Shen
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
Human Activity Recognition (HAR) is a prominent application in mobile computing and Internet of Things (IoT) that aims to detect human activities based on multimodal sensor signals generated as a result of diverse body movements. Human physical activ
Externí odkaz:
https://doaj.org/article/e1e0d579f8914ad6b954f6bd8ae5a0ce
Publikováno v:
ISVLSI
Temporal Neural Networks (TNNs) are spiking neural networks that use time as a resource to represent and process information, similar to the mammalian neocortex. In contrast to compute-intensive deep neural networks that employ separate training and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::255abed59d76814e87d5862c88311967
https://doi.org/10.1109/isvlsi51109.2021.00056
https://doi.org/10.1109/isvlsi51109.2021.00056
Publikováno v:
ICASSP
Unsupervised time series clustering is a challenging problem with diverse industrial applications such as anomaly detection, bio-wearables, etc. These applications typically involve small, low-power devices on the edge that collect and process real-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e203508c6af2ed3c3f5bca91464240ab
Publikováno v:
ICCD
The Out-of-Order (OoO) superscalar core design has been widely adopted for high performance computing. It exploits both instruction level parallelism (ILP) and memory level parallelism (MLP) to speedup the program's execution. However, due to unresol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ff6cd75ebe8dc30cedb9197be91d11
https://doi.org/10.1109/iccd46524.2019.00103
https://doi.org/10.1109/iccd46524.2019.00103
Publikováno v:
UbiComp/ISWC Adjunct
Human activity recognition (HAR) is essential to many context-aware applications in mobile and ubiquitous computing. A human's physical activity can be decomposed into a sequence of simple actions or body movements, corresponding to what we denote as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a6e5a3b73239095ab13661019e35cd
https://doi.org/10.1145/3341162.3345600
https://doi.org/10.1145/3341162.3345600