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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: Nov 2021
Next issue: Feb 2022
Avg review time: 88 days


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

171 results found.

18 pages of results.
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Year: 2018, Volume: 18, Number: 4
... cell phones and GPS devices has made map. A cluster can be represented simply by an icon such as ... Computer Engineering Volume 18, Number 4, 2018 Real-Time Clustering of Large Geo-Referenced Data for Visualizing on Map Mohammad ... INTRODUCTION algorithm to use, and how to represent the clusters on the Rapid increase of cell phones and GPS ...
Terms matched: 12  -  Score: 6014  -  3,595k
Year: 2011, Volume: 11, Number: 2
... mechanism, the power-constrained data-gathering sensor networks, and current cluster head nodes determine cluster head nodes for next round ... , 2011 Wireless Meter Reading Based Energy- Balanced Steady Clustering Routing Algorithm for Sensor Networks Yong TIAN1,2 ... community as a fundamentally NP-hard. The central node determines clusters by solving new tool for a wide range of ...
Terms matched: 12  -  Score: 3836  -  720k
Year: 2017, Volume: 17, Number: 4
... incapable of merging correct clusters, traditional approaches of computing cluster distances are because small perturbations in the data can ... , 2017 K-Linkage: A New Agglomerative Approach for Hierarchical Clustering Pelin YILDIRIM1, Derya BIRANT2 1 The Graduate School ... clustering, the strategies can remain incapable of merging correct clusters, traditional approaches of computing cluster distances are because ...
Terms matched: 11  -  Score: 5959  -  1,463k
Year: 2012, Volume: 12, Number: 1
... of the train formed in the whole network through contention-based cluster freight. The many-to-one traffic pattern of WSNs will ... LSWSN. Extensive for LSWSNs. As that in classical clustering approaches in simulation results illuminate the distinguished performance of ... [7 ], the CDG protocol is organized in rounds and each the proposed protocol. round is subdivided ...
Terms matched: 10  -  Score: 2545  -  670k
Year: 2012, Volume: 12, Number: 3
... shape hypothesis is similarity measurement between points is defined to cluster prohibitively large. 3D HT is time-consuming and high ... work [22] was used to III. SIMILARITY-BASED CLUSTERING segment the trees in the scene, which is ... on k nearest neighboring clustering. The raw point cloud data P is Inspired by the graph-based image segmentation [ ...
Terms matched: 7  -  Score: 550  -  838k
Year: 2019, Volume: 19, Number: 3
... In the building data, millions of primary as SCM cluster models, as shown in Fig. 5 [ ... channel parameters are then calculated using linear regression and multipath clustering algorithm. The proposed analysis scheme is verified by ... loss, the log-normal shadowing clustered, the number of clusters is calculated as the mean of model is considered ...
Terms matched: 7  -  Score: 535  -  1,694k
Year: 2013, Volume: 13, Number: 4
... different. Generally speaking, the Afterwards, the energy-based cluster selecting scheme is microphones closer to the speaker may ... Computer Engineering Volume 13, Number 4, 2013 Microphone Clustering and BP Network based Acoustic Source Localization in Distributed ... method is first used to divide all microphones into several clusters where each one corresponds to a specified BP network ...
Terms matched: 6  -  Score: 765  -  793k
Year: 2015, Volume: 15, Number: 3
... I. INTRODUCTION assigned dimensions. Then, a subspace cluster becomes The proliferation of different types of measurements and ... Volume 15, Number 3, 2015 Evaluation of Subspace Clustering Using Internal Validity Measures Mariusz OSZUST, MichaƂ KOSTKA ... [6, 8- Subspace clustering techniques can create clusters which utilise 13]. They fall into external ...
Terms matched: 6  -  Score: 735  -  1,251k
Year: 2011, Volume: 11, Number: 3
... determined. The wherein each data point belongs to a cluster to some degree centroids of classes are computed by ... , Number 3, 2011 Application of Rosette Pattern for Clustering and Determining the Number of Clusters Ali SADR, ... Keyvan MOMTAZ Electrical Engineering Department, Iran University of Science& Technology, Narmak, Tehran, Iran Sadr@ ...
Terms matched: 5  -  Score: 648  -  2,595k
Year: 2015, Volume: 15, Number: 4
... practical way of determining the state of the power system cluster groups in the system. The proposed method is ... , but systems. A hybrid Calinski-Harabasz criterion and k-means clustering algorithm is developed for the determination of the practical ... RPR basins by using the Jacobian of the reactive power clusters before the application of the clustering algorithm; and ...
Terms matched: 5  -  Score: 486  -  1,493k
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