Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hamidreza Mostafaei"'
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 3750-3800 (2024)
Abstract This research investigates advanced approaches in medical image analysis, specifically focusing on segmentation and classification techniques, as well as their integration into multi‐task architectures for lung infections. This research be
Externí odkaz:
https://doaj.org/article/ee1b73dd9666443890e101d342f49139
Publikováno v:
IET Image Processing, Vol 17, Iss 13, Pp 3728-3745 (2023)
Abstract COVID‐19 has had a profound global impact, necessitating the development of infection detection systems based on machine learning. This paper presents a Multi‐task architecture that addresses the classification and segmentation tasks for
Externí odkaz:
https://doaj.org/article/d866cace1941482d99e0dea646fd6961
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1534-1545 (2023)
Abstract Covid‐19 caused by the SARS‐CoV2 virus has become a pandemic all over the world. By growing in a number of cases, there is a need for clinical decision‐making system based on machine learning models. Most of the previous studies have e
Externí odkaz:
https://doaj.org/article/852aab26bff640869dda38a4f6d6f389
Publikováno v:
Hyperion Economic Journal, Vol 2, Iss 1, Pp 50-60 (2014)
Grey theory deals with systems with inadequate, poor and uncertain information. Modeling against insufficient sample and saturated sequence, Grey Verhulst model has its particular perfection. Its modeling process is easy and high prediction accuracy
Externí odkaz:
https://doaj.org/article/dd04ce0b15a6443ba65cfb853a8b1286
Publikováno v:
Hyperion Economic Journal, Vol 1, Iss 3, Pp 9-17 (2013)
Grey system theory looks for realistic patterns based on modeling with a few available data. In this paper, a Grey-Markov prediction model which is the combination of the GM(1,1) and Markov model was studied; Moreover, its applications in energy syst
Externí odkaz:
https://doaj.org/article/9aa7f3278a2b44a4b6db273f4e868c8a
Publikováno v:
International Journal of Economics and Financial Issues, Vol 2, Iss 3, Pp 312-319 (2012)
Grey theory is about systematic analysis of limited information. The Grey-Markov model can improve the accuracy of forecast range in the random fluctuating data sequence. In this paper, we employed this model in energy system. The average errors of E
Externí odkaz:
https://doaj.org/article/27db10dc51a041adb1b9675f0dff7d5f
Testing the Semi Markov Model Using Monte Carlo Simulation Method for Predicting the Network Traffic
Publikováno v:
Pakistan Journal of Statistics and Operation Research. :713-720
Semi-Markov processes can be considered as a generalization of both Markov and renewal processes. One of the principal characteristics of these processes is that in opposition to Markov models, they represent systems whose evolution is dependent not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dcc7597471c2f3bb505418a7bbc4490
https://doi.org/10.18187/pjsor.v16i4.3394
https://doi.org/10.18187/pjsor.v16i4.3394
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::902f7900e1055345cacbb49c0a57d5f6
https://doi.org/10.2139/ssrn.4064465
https://doi.org/10.2139/ssrn.4064465
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe95910165a1c809093f5fd1d7ddd02
https://doi.org/10.1109/itss-ioe53029.2021.9615286
https://doi.org/10.1109/itss-ioe53029.2021.9615286
Publikováno v:
Wireless Personal Communications. 108:2461-2476
The discrete channel hidden Markov models indicate the temporal statistical characteristics of the generated error sequences by fading channels with memory precisely. In this paper first the optimal order of the hidden Markov models is estimated usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::142b89a3159e68532dc951b465798fe8
https://doi.org/10.1007/s11277-019-06533-5
https://doi.org/10.1007/s11277-019-06533-5