Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Scott T Acton"'
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 6, Iss , Pp 100207- (2024)
Classroom videos are a common source of data for educational researchers studying classroom interactions as well as a resource for teacher education and professional development. Over the last several decades emerging technologies have been applied t
Externí odkaz:
https://doaj.org/article/a1aa5a000ae7414381145fbcf09154b1
Autor:
Ji Zhang, Yibo Wang, Eric D. Donarski, Tanjin T. Toma, Madeline T. Miles, Scott T. Acton, Andreas Gahlmann
Publikováno v:
npj Biofilms and Microbiomes, Vol 8, Iss 1, Pp 1-13 (2022)
Abstract Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-lapse images is essential for observing individual cell behaviors in large bacterial communities called biofilms. Recent progress in machine-lear
Externí odkaz:
https://doaj.org/article/bebe01b8a0d442158f142d7e437a16c8
Autor:
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir Dhar, Babajide Familoni, Khan Iftekharuddin, Scott T. Acton
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
This paper presents GlidarPoly, an efficacious pipeline of 3D gait recognition for flash lidar data based on pose estimation and robust correction of erroneous and missing joint measurements. A flash lidar can provide new opportunities for gait recog
Externí odkaz:
https://doaj.org/article/cfd55f27e16443ebbef0684098656354
Autor:
Mingxing Zhang, Ji Zhang, Yibo Wang, Jie Wang, Alecia M. Achimovich, Scott T. Acton, Andreas Gahlmann
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Accurate cell detection in dense bacterial biofilms is challenging. Here, the authors report an image analysis pipeline that is able to accurately segment and classify single bacterial cells in 3D fluorescence images: Bacterial Cell Morphometry 3D (B
Externí odkaz:
https://doaj.org/article/7a9bc6ded39a44f8ba843f3cc5a84278
Publikováno v:
Sensors, Vol 22, Iss 1, p 354 (2022)
Accurate and robust scale estimation in visual object tracking is a challenging task. To obtain a scale estimation of the target object, most methods rely either on a multi-scale searching scheme or on refining a set of predefined anchor boxes. These
Externí odkaz:
https://doaj.org/article/40464b78fc244f15a36d1ec5337db8e3
Publikováno v:
IEEE transactions on neural networks and learning systems.
Transform-domain least mean squares (TDLMS) adaptive filters encompass the class of learning algorithms where the input data are subjected to a data-independent unitary transform followed by a power normalization stage as preprocessing steps. Because
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab5dacc6ddb18e7cf69437d1e028459
https://pubmed.ncbi.nlm.nih.gov/35120011
https://pubmed.ncbi.nlm.nih.gov/35120011
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41fcd32b4c61143f7995fd8e8dfa66e9
https://doi.org/10.1109/icassp49357.2023.10096865
https://doi.org/10.1109/icassp49357.2023.10096865
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:4-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b159b74076a7ac09fd8f583771e1dc9d
https://doi.org/10.1109/jbhi.2022.3227126
https://doi.org/10.1109/jbhi.2022.3227126
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6078 (2021)
Automatic glia reconstruction is essential for the dynamic analysis of microglia motility and morphology, notably so in research on neurodegenerative diseases. In this paper, we propose an automatic 3D tracing algorithm called C3VFC that uses vector
Externí odkaz:
https://doaj.org/article/c8d4544e21a54debbdd2461a58a0cb68
This paper proposes a novel multi-modal transformer network for detecting actions in untrimmed videos. To enrich the action features, our transformer network utilizes a new multi-modal attention mechanism that computes the correlations between differ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba91c3c7da5add435ccde4de472c5eb
http://arxiv.org/abs/2305.19624
http://arxiv.org/abs/2305.19624
