Zobrazeno 1 - 5
of 5
pro vyhledávání: '"John Mwangi Wandeto"'
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7313 (2023)
Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure. Cooperative awareness messages (CAMs) c
Externí odkaz:
https://doaj.org/article/5f368c88d0d141fca172a6fe80f4afa9
Publikováno v:
Informatics in Medicine Unlocked, Vol 20, Iss , Pp 100433- (2020)
Cellular and molecular imaging techniques and models have been developed to characterize single stages of viral proliferation after focal infection of cells in vitro. The fast and automatic classification of cell imaging data may prove helpful prior
Externí odkaz:
https://doaj.org/article/3c53247a22444f7bbf03b3e3dccc580d
Publikováno v:
Agriculture, Vol 11, Iss 11, p 1083 (2021)
Smart agriculture technologies are effective instruments for increasing farm sustainability and production. They generate many spatial, temporal, and time-series data streams that, when analysed, can reveal several issues on farm productivity and eff
Externí odkaz:
https://doaj.org/article/4b34c692a13f496883234f176f9590fc
Publikováno v:
Informatics in Medicine Unlocked, Vol 7, Iss , Pp 39-45 (2017)
Radiologists use time-series of medical images to monitor the progression of a patient's conditions. They compare information gleaned from sequences of images to gain insight on progression or remission of the lesions, thus evaluating the progress of
Externí odkaz:
https://doaj.org/article/76df50b8241544a0b8229b8000a586ec
Medical image classification is not only a complex task but also a challenging one due to the heterogeneous nature of medical data. Deep transfer learning has proven to be a viable technique for medical image classification throughout the years, most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74dd68cc78751a38f7b240094eb0b5bb
https://doi.org/10.36227/techrxiv.22638937
https://doi.org/10.36227/techrxiv.22638937