Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alla Abdella"'
Autor:
Alla Abdella, Ismail Uysal
Publikováno v:
IEEE Access, Vol 8, Pp 25626-25637 (2020)
Deep clustering achieves unprecedented levels of accuracy with unsupervised feature extraction on rich datasets where the joint statistics of the latent space is learned via highly nonlinear compression. This paper has two separate contributions to t
Externí odkaz:
https://doaj.org/article/07a3792fd9634c659bfc652ae451276f
Autor:
Alla Abdella, Ismail Uysal
Publikováno v:
IEEE Sensors Journal. 21:7972-7988
Processing multivariate sensory time-series with variable lengths is a challenging problem across different application domains due to the naturally complex, high-dimensional, and often non-stationary nature of the data. An excellent example can be f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf464435e06658a5098a2bd278713b86
https://doi.org/10.1109/jsen.2020.3046575
https://doi.org/10.1109/jsen.2020.3046575
Publikováno v:
Journal of Food Engineering. 298:110477
In this paper, we conduct a statistical and temporal analysis to analyze dynamic factors for the temporal heterogeneity, complexity, similarity, and discrepancy on a novel location aware multivariate time series dataset. The dataset represents the te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a33119973cc6340b1c29589684d7ccd8
https://doi.org/10.1016/j.jfoodeng.2021.110477
https://doi.org/10.1016/j.jfoodeng.2021.110477
Publikováno v:
Moroccan Journal of Pure and Applied Analysis, Vol 7, Iss 2, Pp 299-311 (2021)
This paper aims to propose a new hybrid approach for solving multiobjective optimization problems. This approach is based on a combination of global and local search procedures.
Externí odkaz:
https://doaj.org/article/dd0fc6e16b0449c3847c8fb2542b9433