Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Athira Nambiar"'
Autor:
Deepalakshmi Dakshinamoorthy Putchen, Athira Nambiar, Aswathy Ashok Menon, Ananthvikas Jayaram, Sujay Ramaprasad
Publikováno v:
Journal of Mass Spectrometry and Advances in the Clinical Lab, Vol 32, Iss , Pp 18-23 (2024)
Background: The presumptive diagnosis of hemoglobinopathies relies on routine tests such as Complete Blood Count (CBC), peripheral blood smear, Liquid Chromatography (LC), and Capillary Electrophoresis (CE), along with clinical findings. Pathologists
Externí odkaz:
https://doaj.org/article/d6eb36ea6c83479780e2ef5b7c597618
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
IntroductionThe COVID-19 pandemic had a global impact and created an unprecedented emergency in healthcare and other related frontline sectors. Various Artificial-Intelligence-based models were developed to effectively manage medical resources and id
Externí odkaz:
https://doaj.org/article/d63c6b1c3aa649e09451217eaf85cd56
Autor:
Athira Nambiar, Divyansh Mundra
Publikováno v:
Big Data and Cognitive Computing, Vol 6, Iss 4, p 132 (2022)
Data is the lifeblood of any organization. In today’s world, organizations recognize the vital role of data in modern business intelligence systems for making meaningful decisions and staying competitive in the field. Efficient and optimal data ana
Externí odkaz:
https://doaj.org/article/f08173cd1aaa42ad8ec2a0a9d7e49317
Publikováno v:
OCEANS 2022, Hampton Roads.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4056ee09d85ac7fe854222bb96d72dfb
https://doi.org/10.1109/oceans47191.2022.9977152
https://doi.org/10.1109/oceans47191.2022.9977152
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ad1cf78d193439c871523414fd92c29
https://doi.org/10.1007/978-3-031-09037-0_52
https://doi.org/10.1007/978-3-031-09037-0_52
Autor:
Arulkumar Subramaniam, Jayesh Vaidya, Muhammed Abdul Majeed Ameen, Athira Nambiar, Anurag Mittal
Video-based computer vision tasks can benefit from estimation of the salient regions and interactions between those regions. Traditionally, this has been done by identifying the object regions in the images by utilizing pre-trained models to perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df417ce8d44e2321151647f3d28ce59