Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Athanasia Panousopoulou"'
Publikováno v:
EUSIPCO
Human activity recognition (HAR) is encountered in a plethora of applications, such as pervasive health care systems and smart homes. The majority of existing HAR techniques employs features extracted from symbolic or frequency-domain representations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8101938541e7d5eaf41d5838d21091
https://doi.org/10.23919/eusipco.2019.8902969
https://doi.org/10.23919/eusipco.2019.8902969
Autor:
Pavlos Charalampidis, Stylianos Roubakis, Manos Dimitrakis, Elisjana Ymeralli, Constantine Stephanidis, Nikolaos Partarakis, Athanasia Panousopoulou, Alexandros Fragkiadakis, Stefanos Papadakis, Vassilis Papakonstantinou, Antonis Makrogiannakis, Georgios Margetis, Elias Z. Tragos, Giannis Drossis, Manousos Bouloukakis, Manos Kalaitzakis, Dimitris Plexousakis, Irini Fundulaki, Panagiotis Tsakalides, Katerina Karagiannaki
Publikováno v:
Progress in IS ISBN: 9783319994437
This paper describes the implementation of an Internet of Things (IoT) and Open Data infrastructure by the Institute of Computer Science of the Foundation for Research and Technology—Hellas (FORTH-ICS) for the city of Heraklion, focusing on the app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d23d7fb7e2bffc89743b5e885395dfbf
https://doi.org/10.1007/978-3-319-99444-4_2
https://doi.org/10.1007/978-3-319-99444-4_2
Autor:
Anastasia Aidini, Konstantina Fotiadou, Michalis Giannopoulos, Athanasia Panousopoulou, Grigorios Tsagkatakis, Panagiotis Tsakalides
Publikováno v:
Smart Water Grids ISBN: 9781315271804
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5c5a5dbc30ba076e3cb845f8c36830
https://doi.org/10.1201/b21948-4
https://doi.org/10.1201/b21948-4
The effects of climate change, rapid urbanization, and aging infrastructure challenge water policymakers to confront a radical paradigm shift in water resources utilization. Recent advances in sensing, networking, processing, and control have provide
Publikováno v:
IEEE Journal of Biomedical and Health Informatics
Sensor-based activity recognition is encountered in innumerable applications of the arena of pervasive healthcare and plays a crucial role in biomedical research. Nonetheless, the frequent situation of unobserved measurements impairs the ability of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1cbe2ca0159d327da65a6d2cb09e01f
https://pubmed.ncbi.nlm.nih.gov/28796626
https://pubmed.ncbi.nlm.nih.gov/28796626
Publikováno v:
ICASSP
Human Activity Recognition (HAR) must currently face up to the challenge of rethinking analytics from the perspective of real-time operation, wherein biophysical sensing streams are efficiently intertwined at close vicinity to the point of sensing. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7184dccb9862f6699e223ee4543d9d
https://doi.org/10.1109/icassp.2017.7952611
https://doi.org/10.1109/icassp.2017.7952611
Publikováno v:
IEEE Signal Processing Magazine. 30:165-170
At an age when information access is no longer limited by physical barriers or distances, the desire to have continuous sensing and monitoring, rather than simple episodic or snapshot measurements represents the current trend in almost all sensing ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cec6ded3dbcf79b5f7395081743cdac4
https://doi.org/10.1109/msp.2012.2219674
https://doi.org/10.1109/msp.2012.2219674
Publikováno v:
UbiComp Adjunct
Human Activity Recognition (HAR) currently confronts the challenge of interpreting massive data streams to a significantly smaller number of activities. Thus, feature selection should be treated as an inseparable aspect of the HAR chain. In this work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa17a002b8ce855cea5ba75465accf00
https://doi.org/10.1145/2968219.2971421
https://doi.org/10.1145/2968219.2971421
Publikováno v:
EUSIPCO
Classification of activities of daily living is of paramount importance in modern healthcare applications. However, hardware monitoring constraints lead frequently to missing raw values, dramatically affecting the performance of machine learning algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4719b23c73d2360d818b168cb125e22
https://doi.org/10.1109/eusipco.2016.7760601
https://doi.org/10.1109/eusipco.2016.7760601