Zobrazeno 1 - 10
of 406
pro vyhledávání: '"Static image"'
Publikováno v:
Microplastics and Nanoplastics, Vol 3, Iss 1, Pp 1-29 (2023)
Abstract Microplastics have been detected in large numbers around the world. Not only their sheer number threatens ecosystems, their biodiversity, and human health, but risks are also posed by particle characteristics such as size and shape. However,
Externí odkaz:
https://doaj.org/article/48018fce6f864243bb752f0b252e4bda
Akademický článek
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Publikováno v:
Безопасность информационных технологий, Vol 26, Iss 2, Pp 21-43 (2019)
This study deals with the mechanism of protection of static (fixed) images, based on the permutation of image points (IP), inscribed in the edges of a regular hexagonal pyramid. In contrast to the classical methods of generating permutations, in whic
Externí odkaz:
https://doaj.org/article/a16e2cb2f908472a8a827fe38cb2d712
Publikováno v:
Social Sciences and Humanities Open, Vol 3, Iss 1, Pp 100103- (2021)
To address the different learning styles of students, and because students can access animation from their computers, the use of animation in teaching has become increasingly popular. This paper reports aims to study the evolution of the conceptions
Externí odkaz:
https://doaj.org/article/9d6a381fb09b47988d8b945915116e99
Publikováno v:
IET Computer Vision, Vol 12, Iss 3, Pp 233-240 (2018)
Action recognition in static image is challenging. The authors propose mutually incoherent pose bases which are implicit poselet co‐occurrences and are learned by dictionary training to describe body pose. Poselets in a pose basis are not constrain
Externí odkaz:
https://doaj.org/article/2549ed8dee0942deb4d09efbf69f259a
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 3, Iss 12, Pp 1-6 (2017)
In this paper the system for collection and recording of anthropometric data is presented, along with the novel techniques for extraction of such data. The very system is built on selected open-source platform having developed various plugins as a pa
Externí odkaz:
https://doaj.org/article/039513f9d2c34ea6847dc68baa394f53
Autor:
Faiza Muhammad-din
Publikováno v:
Gender, Place & Culture. 29:1816-1819
This book provides a rich and detailed account of the entangled history of making gender and the discourses surrounding the presumed static image of a Muslim woman. The book thoroughly scrutinises ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afb2bbb6e5bb9f1ed41129c6ee77e4d3
https://doi.org/10.1080/0966369x.2021.2000577
https://doi.org/10.1080/0966369x.2021.2000577
Autor:
Matthew Siopis, Aaron Birt, Benjamin Young, Kyle Tsaknopoulos, Caitlin Walde, Danielle L. Cote, Christopher Massar, Jack Grubbs, Anna O'Connell
Publikováno v:
Powder Technology. 391:20-33
Powder-based additive manufacturing (AM) technologies are capable of producing high-performance parts for a diverse set of applications. Many AM processes require specific tolerances on feedstock powder to be successful, necessitating high-quality, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e5f2c1788589ee340ecf807cce50595
https://doi.org/10.1016/j.powtec.2021.06.003
https://doi.org/10.1016/j.powtec.2021.06.003
Publikováno v:
Burns. 47:1295-1299
Introduction Currently information regarding burn size from referring departments to burn centres varies in accuracy. Inaccurate assessment of burn size can lead to over or under treatment. Photographs of injuries may improve accuracy of assessment.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fc43777c54f75e5316748bec3b3b70b
https://doi.org/10.1016/j.burns.2020.12.023
https://doi.org/10.1016/j.burns.2020.12.023
Publikováno v:
Revista Gestão Inovação e Tecnologias. 11:4405-4415
Identification of input fields that appear on a document is a crucial requirement while digitizing any document. This paper presents a Deep Learning based approach to detect input fields from a form or document which consists of text, images and inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54296a0e865ab07a172f4bb9b38abc89
https://doi.org/10.47059/revistageintec.v11i4.2468
https://doi.org/10.47059/revistageintec.v11i4.2468