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pro vyhledávání: '"Keerthi Anand"'
Autor:
Keerthi Anand V D
Publikováno v:
International Journal of Advances in Signal and Image Sciences, Vol 3, Iss 1, Pp 13-18 (2017)
Speaker recognition plays an important role in a biometric based identification of the person using the information available in their speech signals. In any speaker recognition system, feature extraction using signal processing approaches is an impo
Externí odkaz:
https://doaj.org/article/fda38d664b7343ad904a1bb0ce8ce3c8
Autor:
Vijaya Shetty Sadanand, Keerthi Anand, Pooja Suresh, Punnya Kadyada Arun Kumar, Priyanka Mahabaleshwar
As time advances, the use of deep learning-based object detection algorithms has also evolved leading to developments of new human-computer interactions, facilitating an exploration of various domains. Considering the automated process of detection,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff945a881f06b0e8853904519c4b2fb9
https://zenodo.org/record/7275744
https://zenodo.org/record/7275744
Publikováno v:
Assembly Automation, 2013, Vol. 33, Issue 1, pp. 29-37.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/01445151311294649
Trippelnegativ bröstcancer (TNBC) är den mest maligna formen av bröstcancer utan någon framträdande behandlingsbar biomarkör. Således har den djupa återfallsfrekvensen och bristen på behandlingsalternativ öppnat behovet av att förstå TNBC
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321575
Trippelnegativ bröstcancer (TNBC) är den mest maligna formen av bröstcancer utan någon framträdande behandlingsbar biomarkör. Således har den djupa återfallsfrekvensen och bristen på behandlingsalternativ öppnat behovet av att förstå TNBC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::bef870d85a8269b300c8007e351db9b2
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321575
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-321575
Autor:
Carlos A. Zamora, J. Ashley Ezzell, Keerthi Anand, Gabriela Torres, Benjamin Y. Huang, Sheng-Che Hung, Caterina M. Gallippi, Ellie R. Lee, Mark A. Farber, Elizabeth P. Merricks, Melissa C. Caughey, Jonathon W. Homeister
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Stroke is commonly caused by thromboembolic events originating from atherosclerotic plaques in the carotid vasculature. To improve stroke risk prediction by delineating vulnerable plaque features, our group has developed ARFI Variance of Acceleration
Autor:
Gabriela Torres, Jonathon W. Homeister, Mark A. Farber, Melissa C. Caughey, Keerthi Anand, Caterina M. Gallippi
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Rupture potential of atherosclerotic plaques in carotid arteries is conferred by both composition and structure of plaques. Previous studies have shown that from in vivo collected data, carotid plaque components such as collagen, calcium, necrotic co
Autor:
Caterina M. Gallippi, Keerthi Anand
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Acoustic Radiation Force Impulse (ARFI) Log Variance of Acceleration (log(VoA)) was previously demonstrated with a single ARFI excitation and plane wave (PW) tracking to detect plaque structure and composition. However, a separate multi-angle sequenc
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
Double-profile intersection (DoPIo) ultrasound combines two displacement profiles capturing identical tissue motion following an acoustic radiation force (ARF) push to estimate shear elastic modulus via an empirically derived model. However, the disp
Publikováno v:
2021 Asian Conference on Innovation in Technology (ASIANCON).
Over the recent past, the raging pandemic due to COVID-19 is making the headlines, bringing about a global crisis with an inevitable spread. The use of a face mask and maintaining physical distancing is a precautionary measure as suggested by the WHO