Zobrazeno 1 - 10
of 9 553
pro vyhledávání: '"Distributed data"'
Autor:
E.V. Snitko, D.V. Samoylenko
Publikováno v:
Известия высших учебных заведений. Поволжский регион:Технические науки, Iss 2 (2024)
An autonomous group of uninhabited underwater vehicles is considered, performing the function of collecting information, interpreted as a distributed data storage system (DSDS). The effectiveness of the functioning of an autonomous group of uninha
Externí odkaz:
https://doaj.org/article/cfae8f2cab464817a794e801b47f6b4f
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract Data centers are a major source of carbon emissions and are subsequently contributing to global carbon footprints. Keeping in view of providing a sustainable solution to society, we have analyzed various factors that can help to achieve carb
Externí odkaz:
https://doaj.org/article/aa8c10114e654f0da8ad7acda2133f72
Publikováno v:
Journal of Synchrotron Radiation, Vol 31, Iss 3, Pp 635-645 (2024)
With the development of synchrotron radiation sources and high-frame-rate detectors, the amount of experimental data collected at synchrotron radiation beamlines has increased exponentially. As a result, data processing for synchrotron radiation expe
Externí odkaz:
https://doaj.org/article/4c312595b2ee441d8ac5e8139555e7d7
Autor:
SUN Jinye, GUO Shuxing
Publikováno v:
大数据, Pp 1-12 (2024)
At present, the top-level system of ownership governance in China needs to be systematized and improved, and problems such as an imperfect transaction mechanism and a low level of data circulation and sharing are identified, which hinder the marketiz
Externí odkaz:
https://doaj.org/article/e7b089d9c0604015984525db9ce1b1ea
Autor:
Gabryel S. Ramos, Felipe Da R. Henriques, Diego B. Haddad, Fabio A. A. Andrade, Milena F. Pinto
Publikováno v:
IEEE Access, Vol 12, Pp 129040-129063 (2024)
This work presents an advanced cognitive architecture for networked aerial robots to implement autonomous swarm systems effectively. It focuses on designing, implementing, and evaluating an architecture that enables unmanned aerial vehicles (UAVs) to
Externí odkaz:
https://doaj.org/article/b192fdaa3465494eaf725a8f29a5cd22
Publikováno v:
IEEE Access, Vol 12, Pp 66382-66397 (2024)
Currently, the analysis of civil aviation flight data relies primarily on post-flight data. This involves transmitting onboard data to the servers of the airline and aircraft manufacturer after the aircraft has landed, and the engines have been shut
Externí odkaz:
https://doaj.org/article/079a943da5154b188d59d46adc68920f
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3419 (2024)
Observational data with massive sample sizes are often distributed on many local machines. From an experimental design perspective, investigators often desire to identify the effect of new treatments (even ML algorithms) on many blocks of experimenta
Externí odkaz:
https://doaj.org/article/2b3db9bf5147454c98e9ece984222913
Publikováno v:
Algorithms, Vol 17, Iss 10, p 456 (2024)
In this paper, we propose an efficient method called the response-aided score-matching representative (RASMR) approach to facilitate massive data model selection and data analysis with generalized linear models (GLMs) and a predetermined data partiti
Externí odkaz:
https://doaj.org/article/a26b4f0f0e114873a92eea5e76149c5a
Publikováno v:
Journal of Spatial Information Science, Iss 27, Pp 1-26 (2023)
With the advent of new technologies and broader participation in geospatial data production, new challenges emerge for spatial data sharing. Spatial data sharing practices are increasingly transacted through and, to varying degrees, controlled by a h
Externí odkaz:
https://doaj.org/article/d43f3df0c7b147768f963b25e884b668
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each site or data from al
Externí odkaz:
https://doaj.org/article/282caaf50a484f66a0a2cc78bf5e668d