Zobrazeno 1 - 10
of 4 574
pro vyhledávání: '"Djukić"'
Autor:
Kwon, TaeOh, Shibata, Hideaki, Kepfer-Rojas, Sebastian, K. Schmidt, Inger, S. Larsen, Klaus, Beier, Claus, Berg, Björn, Verheyen, Kris, Lamarque, Jean-Francois, Hagedorn, Frank, Eisenhauer, Nico, Djukic, Ika, Network, TeaComposition
Litter decomposition is a key process for carbon and nutrient cycling in terrestrial ecosystems and is mainly controlled by environmental conditions, substrate quantity and quality as well as microbial community abundance and composition. In particul
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A88562
https://ul.qucosa.de/api/qucosa%3A88562/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A88562/attachment/ATT-0/
Autor:
Djukic, Ramona, Karlsson, Lovisa
Studien syftar till att fördjupa förståelsen för hur förskollärare möjliggör barns delaktighet i pedagogisk dokumentation. Studien framhäver barns delaktighet i den egna lärandeprocessen med utgångspunkt i läroplanen för förskolan, begr
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-65843
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 14, Iss 3, Pp 123-130 (2014)
In the recent years, research of special compiler techniques and algorithms for embedded processors broaden the knowledge of how to achieve better compiler performance in irregular processor architectures. However, industrial strength compilers, be
Externí odkaz:
https://doaj.org/article/b3ae8b246f754377bbb8f89ae91a00a8
Python Testbed for Federated Learning Algorithms (PTB-FLA) is a simple FL framework targeting smart Internet of Things in edge systems that provides both generic centralized and decentralized FL algorithms, which implement the corresponding FL orches
Externí odkaz:
http://arxiv.org/abs/2410.13429
Autor:
Djukic, Branka
The latest war in the former Yugoslavia officially ended with the Dayton Agreement in December of 1995. As the country disintegrated, people of the former Yugoslavia suffered enormous losses. One whole way of living disappeared. Many of these people
Externí odkaz:
http://hdl.handle.net/2429/22474
Autor:
Gault, Baptiste, Saksena, Aparna, Sauvage, Xavier, Bagot, Paul, Aota, Leonardo S., Arlt, Jonas, Belkacemi, Lisa T., Boll, Torben, Chen, Yi-Sheng, Daly, Luke, Djukic, Milos B., Douglas, James O., Duarte, Maria J., Felfer, Peter J., Forbes, Richard G., Fu, Jing, Gardner, Hazel M., Gemma, Ryota, Gerstl, Stephan S. A., Gong, Yilun, Hachet, Guillaume, Jakob, Severin, Jenkins, Benjamin M., Jones, Megan E., Khanchandani, Heena, Kontis, Paraskevas, Krämer, Mathias, Kühbach, Markus, Marceau, Ross K. W., Mayweg, David, Moore, Katie L., Nallathambi, Varatharaja, Ott, Benedict C., Poplawsky, Jonathan D, Prosa, Ty, Pundt, Astrid, Saha, Mainak, Schwarz, Tim M., Shang, Yuanyuan, Shen, Xiao, Vrellou, Maria, Yu, Yuan, Zhao, Yujun, Zhao, Huan, Zou, Bowen
As hydrogen is touted as a key player in the decarbonization of modern society, it is critical to enable quantitative H analysis at high spatial resolution, if possible at the atomic scale. Indeed, H has a known deleterious impact on the mechanical p
Externí odkaz:
http://arxiv.org/abs/2405.13158
Recently, Python Testbed for Federated Learning Algorithms emerged as a low code and generative large language models amenable framework for developing decentralized and distributed applications, primarily targeting edge systems, by nonprofessional p
Externí odkaz:
http://arxiv.org/abs/2405.09423
We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined range. Deep Dict incorporates two essential components: the Bernoulli tran
Externí odkaz:
http://arxiv.org/abs/2401.10396