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Search results for: cluster
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Year: 2019, Volume: 19, Number: 2
... ] A. Karabiber, C. Keles, A. Kaygusuz, and B.B. Alagoz, "An approach Rosell and, A. Sumper, "Microgrid clustering architectures," Appl. for the integration of renewable distributed generation in hybrid Energy, vol. 212, pp. 340-361, 2018. doi: DC ...
Year: 2013, Volume: 13, Number: 1
... Molva, "Privacy Preserving TABLE I. FUNCTIONALITY COMPARISON WITH [1 ], [4] -[ 6 ], [9]. Products Tracking in Clustered Supply Chain", Proc. Functionality Ours [1] [5] [6] [9] [4] SENSORCOMM'11, pp. 399-404, ...
Year: 2013, Volume: 13, Number: 1
... : 10.4316/AECE.2012.02008, 2012. Diagnosing the Hepatitis B Intensity Rate and Comparing it with [26] D'Urso P., Massari R., "Fuzzy clustering of human activity", Fuzzy Adaptive Neural Network Fuzzy System", Proceedings of the World Sets and Systems, Vol 215, No.16, pp. 29-54 ...
Year: 2013, Volume: 13, Number: 2
... [17] S. Pohoaţă, O. Geman, A. Graur, "Dual tasking: gait and tremor in Parkinson's disease – acquisition, processing and clustering," in Proc. disease used for detecting the tremor and the video systems of the National Symposium of Theoretical Electrical Engineering, are really qualitative and quantitative ...
Year: 2013, Volume: 13, Number: 3
... , we are service for wide area adaptive backup protection. A new fault using mainly Breadth-first search, Depth-first search and discriminant technology based on the criterion for fault cluster analysis, and seeking after for the uniform laws of category and non-fault category will be explored. In the electrical quantities' marked changes. According to line ...
Year: 2013, Volume: 13, Number: 4
... and takes [7] O. Younis and S. Fahmy, "Heed: A hybrid, energy-efficient, the smallest time to deliver the packets. distributed clustering approach for ad hoc sensor networks," IEEE Transactions on Mobile Computing, vol. 3, no. 4, pp. 366- 379, When ...
Year: 2010, Volume: 10, Issue: 3
... ], an algorithm for adjusting the weights in a multilayer neural intelligent detector founded on decision making system was network. In [150], a two-stage supervised clustering-based proposed. A learning detection system was proposed in [70] neural network was developed to perform the classification which synthesize the status output of the decision rule ...
Year: 2021, Volume: 21, Number: 2
... the following steps: can be made via local-global color histograms, partitioning  State transition – prediction, using the adopted motion of color spaces and use of a clustering algorithm, etc. [45]. model; The color histogram is most frequently used for this purpose  A computing of selected image features; due ...
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