Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Gerardo Rubino"'
Publikováno v:
IEEE Access, Vol 8, Pp 21291-21301 (2020)
Survivability of internet services is a significant and crucial challenge in designing optical networks. A robust infrastructure and transmission protocols are needed to maintain communication, despite the existence of one or more failed components o
Externí odkaz:
https://doaj.org/article/cf0630d2ba244867a151085388fcf48b
Autor:
Edgar Romo Montiel, Mario E. Rivero-Angeles, Gerardo Rubino, Heron Molina-Lozano, Rolando Menchaca-Mendez, Ricardo Menchaca-Mendez
Publikováno v:
Sensors, Vol 17, Iss 12, p 2902 (2017)
Clustered-based wireless sensor networks have been extensively used in the literature in order to achieve considerable energy consumption reductions. However, two aspects of such systems have been largely overlooked. Namely, the transmission probabil
Externí odkaz:
https://doaj.org/article/c7ec3692dc81465eb564931029d053d2
A GRASP algorithm with tree based local search for designing a survivable wide area network backbone
Publikováno v:
Journal of Computer Science and Technology, Vol 4, Iss 01, Pp 52-58 (2004)
System survivability is the ability to give service in spite of failures of some of the components. To assure survivability is an important goal when designing a communications network backbone, to ensure that it can resist to failures in the switch
Externí odkaz:
https://doaj.org/article/570267355683449bbeebf4fa282d376c
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol DMTCS Proceedings vol. AC,..., Iss Proceedings (2003)
A new approach is used to determine the transient probability functions of Markov processes. This new solution method is a sample path counting approach and uses dual processes and randomization. The approach is illustrated by determining transient p
Externí odkaz:
https://doaj.org/article/bda4665505ba4c66b5cb48aad188dc3d
Publikováno v:
2023 Optical Fiber Communications Conference and Exhibition (OFC).
A highly accurate analytical procedure to support emerging ZR+-enabled IPoWDM network planning tools is presented. The procedure is four orders of magnitude faster than simulation, allowing extensive and fast network analysis and design.
Autor:
Gerardo Rubino
Publikováno v:
Proceedings of The 17th International Symposium on Computer and Information Sciences ISBN: 9780429332821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc323916d20a9a0a8e90158343f9d511
https://doi.org/10.1201/9780429332821-95
https://doi.org/10.1201/9780429332821-95
Autor:
Sebastian Basterrech, Gerardo Rubino
Publikováno v:
IJCNN 2022-2022 International Joint Conference on Neural Networks
IJCNN 2022-2022 International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892892⟩
IJCNN 2022-2022 International Joint Conference on Neural Networks, Jul 2022, Padua, Italy. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892892⟩
The Echo State Network (ESN) is a class of Recurrent Neural Network with a large number of hidden-hidden weights (in the so-called reservoir). Canonical ESN and its variations have recently received significant attention due to their remarkable succe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62637a6636e2f30d73706a7624f0a6bc
https://inria.hal.science/hal-03898605
https://inria.hal.science/hal-03898605
Autor:
Gerardo Rubino, Alan C. Krinik
Publikováno v:
Stochastic Processes and Functional Analysis. :217-235
Classic performance evaluation using queueing theory is usually done assuming a stable model in equilibrium. However, there are situations where we are interested in the transient phase. In this case, the main metrics are built around the model’s s
Publikováno v:
IEEE Transactions on Reliability
IEEE Transactions on Reliability, 2022, pp.1-24. ⟨10.1109/TR.2022.3178413⟩
IEEE Transactions on Reliability, 2022, pp.1-24. ⟨10.1109/TR.2022.3178413⟩
International audience; The Creation and the Destruction Processes (CP and DP) are the basis of many efficient Monte Carlo methods for estimating the unreliability of highly reliable networks on both, the static and the stochastic flow network models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d1595796964315eb6aabb554bf467c
https://inria.hal.science/hal-03895999
https://inria.hal.science/hal-03895999
Autor:
Gerardo Rubino
Publikováno v:
Advances in Modeling and Simulation ISBN: 9783031101922
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec121ad49d275ca34f7d6ad314fe448
https://doi.org/10.1007/978-3-031-10193-9_20
https://doi.org/10.1007/978-3-031-10193-9_20