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pro vyhledávání: '"Web access"'
Akademický článek
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Autor:
Stephen M. Plaza, Jody Clements, Tom Dolafi, Lowell Umayam, Nicole N. Neubarth, Louis K. Scheffer, Stuart Berg
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
Due to advances in electron microscopy and deep learning, it is now practical to reconstruct a connectome, a description of neurons and the chemical synapses between them, for significant volumes of neural tissue. Smaller past reconstructions were pr
Externí odkaz:
https://doaj.org/article/6eab406935af4ec7bd39c0a079b13d4d
Autor:
Benoit Thieurmel, Martin Masson
Publikováno v:
Bulletin de la Dialyse à Domicile, Vol 3, Iss 3, Pp 155-168 (2020)
The collection of information in the database of a medical registry finds its first interest in the possibility for a doctor and a care team to analyze their results and to compare themselves with other teams for the purpose of sharing experience and
Externí odkaz:
https://doaj.org/article/d16d48c4506c4ba0a39f6fbb38ceb202
Publikováno v:
European Project Management Journal. 7(2):45-58
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=925483
Publikováno v:
European Project Management Journal, Vol 7, Iss 2, Pp 45-58 (2017)
This paper explores parallel influence of web based project management competences and project performances. A cross-sectional approach was taken to examine differences among low and high maturity organizations, according to IPMA Delta model for indi
Externí odkaz:
https://doaj.org/article/f040afdb5463469abfbf9b71acc98238
Autor:
Maxim DOBRINOIU
Publikováno v:
Challenges of the Knowledge Society, Vol 6, Iss -, Pp 44-49 (2016)
Nowadays, on a rise of cybersecurity incidents and a very complex IT&C environment, the national legal systems must adapt in order to properly address the new and modern forms of criminality in cyberspace. The illegal access to a computer system rema
Externí odkaz:
https://doaj.org/article/6049bcca8453460185834c97a0eb203f
Autor:
Huei-Yung Lin, Zong-Yao Wu
Publikováno v:
IEEE Sensors Journal. 21:24591-24600
This paper presents the development of an intelligent bicycle system with automatic gear shifting based on the user’s physiological information and environment sensing. The sensor data are collected during the ride, uploaded to the cloud database,
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage. (IV):247-255
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=268956
Akademický článek
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