Zobrazeno 1 - 10
of 54
pro vyhledávání: '"4603 Computer Vision and Multimedia Computation"'
—This paper proposes to recognise the true (self-reported) personality traits from the target subject’s cognition simulated from facial reactions. This approach builds on the following two findings in cognitive science: (i) human cognition partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c41cf480f5325bf4ed03059b01dde7cb
https://www.repository.cam.ac.uk/handle/1810/344834
https://www.repository.cam.ac.uk/handle/1810/344834
Autor:
Rana, Priyanka
Human cells undergo various morphological changes due to progression in the cell-cycle or environmental factors. Classification of these morphological states is vital for effective clinical decisions. Automated classification systems based on machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3ee0581169a0261343df16729c8596
Autor:
Yan, Su, Huang, Jun-Jie, Verinaz-Jadan, Herman, Daly, Nathan, Higgitt, Catherine, Dragotti, Pier Luigi
Macro X-ray Fluorescence (MA-XRF) scanning is increasingly widely used by researchers in heritage science to analyse easel paintings as one of a suite of non-invasive imaging techniques. The task of processing the resulting MA-XRF datacube generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82629230017ff87f15dafcd6a822ddaf
http://arxiv.org/abs/2210.17496
http://arxiv.org/abs/2210.17496
Autor:
Francesco Ceccarelli, Marwa Mahmoud
Mental disorder is a serious public health concern that affects the life of millions of people throughout the world. Early diagnosis is essential to ensure timely treatment and to improve the well-being of those affected by a mental disorder. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4f4ad2462cf910095451f6dcb35be44
https://eprints.gla.ac.uk/259854/2/259854.pdf
https://eprints.gla.ac.uk/259854/2/259854.pdf
Publikováno v:
Sustainability; Volume 15; Issue 8; Pages: 6610
Real-time road quality monitoring, involves using technologies to collect data on the conditions of the road, including information on potholes, cracks, and other defects. This information can help to improve safety for drivers and reduce costs assoc
Funder: NIHR Cambridge Biomedical Research Centre
Funder: National Institute for Health and Care Research
Artificial Intelligence (AI) is increasingly taking on a greater role in healthcare, especially during the current COVID-19 pandemic.
Funder: National Institute for Health and Care Research
Artificial Intelligence (AI) is increasingly taking on a greater role in healthcare, especially during the current COVID-19 pandemic.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc12dfb55c4da5292864200791969329
https://www.repository.cam.ac.uk/handle/1810/339588
https://www.repository.cam.ac.uk/handle/1810/339588
Autor:
Nicholas E. Protonotarios, Athanassios S. Fokas, Alexandros Vrachliotis, Vangelis Marinakis, Nikolaos Dikaios, George A. Kastis
Publikováno v:
Applied Sciences; Volume 12; Issue 7; Pages: 3335
Over the last decades, there has been an increasing interest in dedicated preclinical imaging modalities for research in biomedicine. Especially in the case of positron emission tomography (PET), reconstructed images provide useful information of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::488ebba033be2a896f17218ff40b5cb4
Autor:
Wang, Annie Xu
Apple trees commonly require the removal of excessive flowers by thinning to produce marketable fruit. Estimating the flower counts and phenology is important for chemical thinning decisions. Farmers generally inspect flowers in randomly sampled tree
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00e3098a2967cebe056a3a73f5743399
Autor:
Carola-Bibiane Schönlieb, Rihuan Ke
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(9)
Deep neural network based methods are the state of the art in various image restoration problems. Standard supervised learning frameworks require a set of noisy measurement and clean image pairs for which a distance between the output of the restorat