Zobrazeno 1 - 10
of 1 180
pro vyhledávání: '"Temporal network"'
Autor:
Maltseva Daria, Batagelj Vladimir
Publikováno v:
Journal of Data and Information Science, Vol 9, Iss 4, Pp 110-154 (2024)
We analyzed the structure of a community of authors working in the field of social network analysis (SNA) based on citation indicators: direct citation and bibliographic coupling metrics. We observed patterns at the micro, meso, and macro levels of a
Externí odkaz:
https://doaj.org/article/1ab3c1060a134fc1a195f66e066206d8
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Background Identifying critical genes is important for understanding the pathogenesis of complex diseases. Traditional studies typically comparing the change of biomecules between normal and disease samples or detecting important vertices fr
Externí odkaz:
https://doaj.org/article/a60df1c17ec14d468080967b8cf4b45a
Publikováno v:
In Journal of Informetrics February 2025 19(1)
Publikováno v:
Child and Adolescent Psychiatry and Mental Health, Vol 18, Iss 1, Pp 1-12 (2024)
Abstract Background An extensive literature has shown a strong connection between maternal parenting practices and adolescent mental health problems. However, it has been difficult for previous research to map a dynamic concurrent and prospective rel
Externí odkaz:
https://doaj.org/article/01ddcf9b5dce42dcbb8af33bb423a0a8
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 3, Pp 832-836 (2024)
With the rapid rise of online classrooms, monitoring student engagement is critical but challenging for educators. This work explores how artificial intelligence (AI) and big data techniques can automatically evaluate student concentration levels in
Externí odkaz:
https://doaj.org/article/e33d3d81eaed4c9395ce63a22989e4da
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4350-4367 (2024)
In this article, a new self-supervised strategy for learning meaningful representations of complex optical satellite image time series (SITS) is presented. The methodology proposed, named Unet-BERT spAtio-temporal Representation eNcoder (U-BARN), exp
Externí odkaz:
https://doaj.org/article/78300210f8244fe1be47ded252e25742
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10456 (2024)
High-speed rail express is gradually gaining attention due to its low cost and high on-time performance. This paper studied the optimization of high-speed rail express transportation modes considering passenger capacity loss. A spatio-temporal networ
Externí odkaz:
https://doaj.org/article/d0f0de4dc7104b59bfc190dfcea6286b
Autor:
Haifa Gaza, Jaewook Byun
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101738- (2024)
Analyzing information diffusion on temporal networks provides invaluable insights into how information spreads throughout a network over time, such as cryptocurrency money flow and virus propagation. Chronoweb is an open-source web information system
Externí odkaz:
https://doaj.org/article/952a9ebdef504ed9836e1b5f5526f300
Publikováno v:
Journal of Management Science and Engineering, Vol 8, Iss 4, Pp 512-528 (2023)
Pesticides are agricultural inputs that can significantly reduce yield losses, regulate plant growth, effectively liberate agricultural productivity, and improve food security. The availability of pesticides in economies worldwide is ensured by redis
Externí odkaz:
https://doaj.org/article/972347c499ca464783fc7f413eda4b81
Publikováno v:
Energies, Vol 17, Iss 19, p 4798 (2024)
The rapid increase in electric vehicles (EVs) poses significant impacts on multi-energy system (MES) operation and energy management. Accurately assessing EV charging demand becomes crucial for maintaining MES stability, making it an urgent issue to
Externí odkaz:
https://doaj.org/article/426e753a7f0c4fb4ac47a919f81467ea