Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zachary Baird"'
Publikováno v:
IEEE Access, Vol 8, Pp 179281-179294 (2020)
Typical radar detectors exploit only a small proportion of the valuable information contained in radar reflections, i.e. magnitude and Doppler. A neural network-based approach for augmenting traditional radar detector structures using machine learnin
Externí odkaz:
https://doaj.org/article/cf68dbb247734de0a257eb425564cbcd
Publikováno v:
2021 IEEE 24th International Conference on Information Fusion (FUSION).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::879c723af75f731c5e4e2b2332a26b38
https://doi.org/10.23919/fusion49465.2021.9626944
https://doi.org/10.23919/fusion49465.2021.9626944
Publikováno v:
IEEE Access, Vol 8, Pp 179281-179294 (2020)
Typical radar detectors exploit only a small proportion of the valuable information contained in radar reflections, i.e. magnitude and Doppler. A neural network-based approach for augmenting traditional radar detector structures using machine learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46df97f27e59bf88a4462405fa7ca1d3
https://doi.org/10.1109/access.2020.3025144
https://doi.org/10.1109/access.2020.3025144
Publikováno v:
CEC
This paper analyzes the structure of the feature space of radar data collected from real subjects either still or in motion and provides dimensionality reduction and modeling through genetic programming. Three movement classes: sedentary and still, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::943d499dd3345c54b6dc23de3ce4eb75
https://doi.org/10.1109/cec48606.2020.9185814
https://doi.org/10.1109/cec48606.2020.9185814
Publikováno v:
EMBC
There is a great need for new technology that helps ensure the well-being of senior citizens who have compromised health and are at an elevated risk of injury due to falls. Being able to detect posture and postural changes may be helpful in predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a0a164971c5f63cf9d9eb51f4d57578
https://pubmed.ncbi.nlm.nih.gov/30441089
https://pubmed.ncbi.nlm.nih.gov/30441089
Publikováno v:
Journal of Healthcare Engineering, Vol 2019 (2019)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
Breathing rate monitoring using continuous wave (CW) radar has gained much attention due to its contact-less nature and privacy-friendly characteristic. In this work, using a single-channel CW radar, a breathing rate estimation method is proposed tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf4b4b3380b18fe65fa8c3e4e17b9fd7
https://pubmed.ncbi.nlm.nih.gov/31049185
https://pubmed.ncbi.nlm.nih.gov/31049185
Publikováno v:
2018 International Workshop on Computing, Electromagnetics, and Machine Intelligence (CEMi).
Legacy detection approaches in persistent wide area surveillance (WAS) rely on tractable stochastic models to predict clutter and target behaviour to allow the generation of detector structures. Unfortunately, actual clutter properties encountered du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbe4c309a9d2ae98bae485cd957995f9
https://doi.org/10.1109/cemi.2018.8610550
https://doi.org/10.1109/cemi.2018.8610550
Publikováno v:
IJCNN
In real life applications, it is crucial to monitor the different kinds of human activity without interfering with their regular occupations. Contactless physiological monitoring using radars is a valuable tool, but typically it is performed when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36a6c3fa0ced1ea91e3ff7f351397fbd
https://nrc-publications.canada.ca/eng/view/object/?id=26d1b84e-5b1d-4a5c-8112-3bc7083c6e70
https://nrc-publications.canada.ca/eng/view/object/?id=26d1b84e-5b1d-4a5c-8112-3bc7083c6e70
