Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sandra Dudley-McEvoy"'
Publikováno v:
IEEE Sensors Journal. 22:6931-6941
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::887e9d01ce580619ce3231717bab501b
https://doi.org/10.1109/jsen.2022.3154092
https://doi.org/10.1109/jsen.2022.3154092
Autor:
Banafsheh Khalesi, Bilal Khalid, Navid Ghavami, Giovanni Raspa, Mohammad Ghavami, Sandra Dudley-McEvoy, Gianluigi Tiberi
Publikováno v:
Electronics; Volume 11; Issue 13; Pages: 2105
In this work, a feasibility study for lung lesion detection through microwave imaging based on Huygens’ principle (HP) has been performed using multilayer oval shaped phantoms mimicking human torso having a cylindrically shaped inclusion simulating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9ef06696f5b04c806d28620970eabc
https://zenodo.org/record/7030002
https://zenodo.org/record/7030002
Autor:
Adil Ali Saleem, Hina Fatima Shahzad, Ernesto Lee, Furqan Rustam, Imran Ashraf, Abdul Baqi Khan Khakwani, Hafeez-Ur-Rehman Siddiqui, Sandra Dudley-McEvoy
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 8336, p 8336 (2021)
Sensors; Volume 21; Issue 24; Pages: 8336
Sensors, Vol 21, Iss 8336, p 8336 (2021)
Sensors; Volume 21; Issue 24; Pages: 8336
Emotion recognition gained increasingly prominent attraction from a multitude of fields recently due to their wide use in human-computer interaction interface, therapy, and advanced robotics, etc. Human speech, gestures, facial expressions, and physi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e4342f2b36f317f697f184338272e50
http://europepmc.org/articles/PMC8707312
http://europepmc.org/articles/PMC8707312
Autor:
Mohammad Ghavami, Khalesi, B., Bilal Khalid, Ghavami, N., Sandra Dudley-McEvoy, Gianluigi Tiberi
Publikováno v:
London South Bank University-Haplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2f78f8eaa5928703408aa259a1ff64
https://doi.org/10.1109/piers53385.2021.9694816
https://doi.org/10.1109/piers53385.2021.9694816
Autor:
Behnaz Sohani, Banafsheh Khalesi, Gianluigi Tiberi, Sandra Dudley-McEvoy, Mohammad Ghavami, James Puttock
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Body Area Networks. Smart IoT and Big Data for Intelligent Health
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030649906
BODYNETS
Body Area Networks. Smart IoT and Big Data for Intelligent Health-15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering-Body Area Networks. Smart IoT and Big Data for Intelligent Health
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030649906
BODYNETS
Body Area Networks. Smart IoT and Big Data for Intelligent Health-15th EAI International Conference, BODYNETS 2020, Tallinn, Estonia, October 21, 2020, Proceedings
An investigation is presented on Artefact Removal Methods for Ultra-Wideband (UWB) Microwave Imaging. Simulations have been done representing UWB signals transmitted onto a cylindrical head-mimicking phantom containing an inclusion having dielectric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48a82e739801efe24a68e6a7139c6f0f
Publikováno v:
London South Bank University-Haplo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a525c0f6cf7cfdd84f6939674409bec7
https://rpg.theiet.org/
https://rpg.theiet.org/