Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kimmo Raivio"'
Autor:
Matti Heiliö, Timo Lähivaara, Erkki Laitinen, Timo Mantere, Jorma Merikoski, Seppo Pohjolainen, Kimmo Raivio, Risto Silvennoinen, Antti Suutala, Tanja Tarvainen, Timo Tiihonen, Jukka Tuomela, Esko Turunen, Marko Vauhkonen
This book provides a thorough introduction to the challenge of applying mathematics in real-world scenarios. Modelling tasks rarely involve well-defined categories, and they often require multidisciplinary input from mathematics, physics, computer sc
Publikováno v:
Mathematical Modelling ISBN: 9783319278346
Soft computing methods of modelling usually include fuzzy logics , neural computation , genetical algorithms and probabilistic deduction , with the addition of data mining and chaos theory in some cases. Unlike the traditional “hardcore methods”
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573e864ea20c713e47f3ba1e755f4ab4
https://doi.org/10.1007/978-3-319-27836-0_6
https://doi.org/10.1007/978-3-319-27836-0_6
Autor:
Matti Heiliö, Timo Lähivaara, Erkki Laitinen, Timo Mantere, Jorma Merikoski, Seppo Pohjolainen, Kimmo Raivio, Risto Silvennoinen, Antti Suutala, Tanja Tarvainen, Timo Tiihonen, Jukka Tuomela, Esko Turunen, Marko Vauhkonen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f5d5da5cfa7714aa93c42bc1b359dc
https://doi.org/10.1007/978-3-319-27836-0
https://doi.org/10.1007/978-3-319-27836-0
Publikováno v:
IEEE Transactions on Wireless Communications. 4:930-942
The operation and maintenance of the third generation (3G) mobile networks will be challenging. These networks will be strongly service driven, and this approach differs significantly from the traditional speech dominated in the second generation (2G
Publikováno v:
Neurocomputing. 21:159-171
Neural receiver structures have been developed for adaptive discrete-signal detection in telecommunication applications. Neural networks combined with conventional equalizers improve the performance especially in compensating for nonlinear distortion
Publikováno v:
Saarela, O, Lehtonen, M, Halme, J, Aikala, A & Raivio, K 2012, ' Tolkku : A toolbox for decision support from condition monitoring data ', Journal of Physics: Conference Series, vol. 364, no. Conference 1, 012044 . https://doi.org/10.1088/1742-6596/364/1/012044
This paper describes a software toolbox (a software library) designed for condition monitoring and diagnosis of machines. This toolbox implements both new methods and prior art and is aimed for practical down-to-earth data analysis work. The target i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8f795cc93fe0f3b8310ff5e400975f1
https://cris.vtt.fi/en/publications/8f97ce14-d4a9-41c5-8766-a900e96845ec
https://cris.vtt.fi/en/publications/8f97ce14-d4a9-41c5-8766-a900e96845ec
Publikováno v:
AINA Workshops
A cellular network like a GSM network is built up using a number of base stations to cover a large geographical area. The area covered by one base station can be seen as a cell in the network. Regardless of the location of a user the network should b
Autor:
Kimmo Raivio
Publikováno v:
MSWiM
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analysis of mobile networks. In this paper, the method is used to find groups
Autor:
Pasi Lehtimäki, M. Kylvaja, Kimmo Raivio, P. Vehvilainen, P. Kumpulainen, Jaana Laiho, Kimmo Hätönen
Publikováno v:
2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).
Telecommunications networks move towards wireless applications and service and business driven network management. Operators provide new services on different access technologies, in a multi-technology environment. This shift in abstraction level tow
Autor:
Kimmo Raivio, Pasi Lehtimäki
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287957
IDA
IDA
In this paper, a method to analyze GSM network performance on the basis of massive data records and application domain knowledge is presented. The available measurements are divided into variable sets describing the performance of the different subsy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9da860652a6894848920f5cd286ec286
https://doi.org/10.1007/11552253_19
https://doi.org/10.1007/11552253_19