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JCR Impact Factor: 1.221
JCR 5-Year IF: 0.961
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Feb 2022
Next issue: May 2022
Avg review time: 76 days
Avg accept to publ: 48 days
APC: 300 EUR


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

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Search results for: cluster

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Year: 2020, Volume: 20, Number: 2
... is a crucial for solar radiation forecasting in a recent research [18]. A problem for projection and management of large solar model based on combining of k-means clustering method projects. The energy efficiency can be satisfied with a and the ANN was also proposed by Benmouiza and successful solar irradiation forecasting. The solar irradiation Cheknane ...
Terms matched: 1  -  Score: 12  -  2,045k
Year: 2020, Volume: 20, Number: 2
... . above dataset where four different methods are compared including the approach by Pape and Klukas [11]. In I. INTRODUCTION Nottingham method, Simple Linear Iterative Clustering (SLIC) superpixels based technique is applied in Lab color As agriculture is emerging as an important technology space to segment the image from the background. Centroids ...
Terms matched: 1  -  Score: 12  -  1,765k
Year: 2011, Volume: 11, Number: 1
... its use in the implementation of the category- the vocabulary from each POS. These ni words constitute based LM [15][16]. This auto clustering method aims to the rest of the vocabulary (in total N-n0). maximize the log likelihood of the training corpus. The In Section III-A, we ...
Terms matched: 1  -  Score: 11  -  625k
Year: 2021, Volume: 21, Number: 4
... Principles and Practice of Constraint based dynamic resource provisioning for multi-objective trade-offs in Programming. CP 2013. Lecture Notes in Computer Science, vol. IaaS clouds," Cluster Comput., 2021. doi:10.1007/s10586-020-03225- 8124. Springer, 2013. doi:10.1007/978-3-642-40627-0_7 9 [22] C. Mastroianni ...
Terms matched: 1  -  Score: 11  -  1,956k
Year: 2008, Volume: 8, Issue: 2
... connected neurons of all lager of cortex, united in still larger when construction by the determined totality of characters is unit €“ module. Modules are grouped in larger clusters, over. forming primary visual, acoustic or moving cortex "Intelligent" level of distributed network is determined by depending on the source from which the given ...
Terms matched: 1  -  Score: 11  -  480k
Year: 2017, Volume: 17, Number: 2
... their research is to determine a Analysis (ICA) algorithm. Signal separation is then finite set of basic elements, which is highly correlated to the performed by clustering the basis spectra into disjoint sets. music signals and uncorrelated to the speech and another The clustering process can be done through different finite set of basic elements ...
Terms matched: 1  -  Score: 9  -  1,709k
Year: 2013, Volume: 13, Number: 1
... model. example of X-ray can be observed in Fig. 1. For automated medical image segmentation, a new fuzzy level set algorithm [15] uses fuzzy clustering as the initial level set function. The fuzzy level set method is derived from the classical Hamilton-Jacobi functional and it is enhanced with locally regularized evolution. Even ...
Terms matched: 1  -  Score: 9  -  1,239k
Year: 2013, Volume: 13, Number: 3
... (HCRF) and explicit duration model (EDM). They The input for the image processing chain consists of a compare the results and conclude that, after clustering, movie (of around 100 frames) from the Kinect camera. In model complexities are reduced and recognition rates fact, one has at each instance of ...
Terms matched: 1  -  Score: 9  -  699k
Year: 2013, Volume: 13, Number: 4
... [3] Y. Kusunoki, M. Inuiguchi, J. Stefanowski, "Rule induction via In this paper a novel hybrid method for fast finding the clustering decision classes," International Journal of Innovative RWBCA is proposed. Usually a dataset has a lot of reducts Computing Information and Control, vol. 4, ...
Terms matched: 1  -  Score: 8  -  638k
Year: 2013, Volume: 13, Number: 1
... model by starting from whole process, a parallel architecture can be easily a single MIMO NN is frequently adopted in literature, the implemented since each node of the cluster is used to train proposed method introduces three other steps: 1) a further SISO NNs separately (see [17]). The optimization of decomposition ...
Terms matched: 1  -  Score: 8  -  689k
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