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Year: 2017, Volume: 17, Number: 3
... load factor in the power that, in the power network, the load factor can be improved network. ... a) TABLE VII. POWER LOSSES IN THE POWER NETWORK'S LINES OF THE 300 STUDIED SYSTEM Wed. Thu ... Fri. Time (h) Sun. Sat. Mon. Tue. 250 Line, Power Losses ( ...
Year: 2017, Volume: 17, Number: 3
... [3 ], filter estimate target position in sensor networks. In [21], an design, ... RMSE of position in scenario III Model for Wireless Sensor Network," Information Fusion, vol. 27, ... many fields such as target tracking [1 ], networked control as zero-sum game and a minimax algorithm is ...
Year: 2017, Volume: 17, Number: 3
... of arrhythmias in [6] and another complex combination of K-Nearest Neighbors, neural networks and a Index Terms — complexity theory, decision trees, fuzzy system is ... . A new required for complexity calculus, a cloud computing solution fuzzy clustering neural network architecture is proposed to with executable code deployment is also proposed. classify ten ...
Year: 2017, Volume: 17, Number: 2
... . Muresan, I. Homana, N. Toma, "Blind propagators is optimally sparse," Communications on Pure and source separation for convolutive mixtures with neural networks," Applied Mathematics, vol. 58, no. 11, pp. 1472 – 1528, Nov. 2005. Advances in Electrical and Computer Engineering ...
Year: 2017, Volume: 17, Number: 2
... IoT technology and estimated that in the next decade, networks to the Internet [1]. The IoT ... the patient, challenges, such as latency constrains, network bandwidth using a mobile tele-electrocardiograph, without the help ... communication interfaces between the Conference on Sensing, Communications and Networking (SECON), software modules. Another new ...
Year: 2017, Volume: 17, Number: 2
... Terms — internet of things, microcontrollers, personal area networks, public healthcare, bluetooth. hardware necessary to ... Sensing is a brief introduction based on the IoT development Network, which is responsible for collecting and practices. ... knowledge and practical experience are International Conference on Advanced Information Networking and required. Applications – AINA, Crans-Montana, ...
Year: 2017, Volume: 17, Number: 2
... 26] E. Massa, G. Lima, P. Regnier, G. Levin, S. Brandt, "Quasi- international conference on High confidence networked systems, pp. partitioned scheduling: optimality and adaptation in multiprocessor 65 – 74, 2013. doi:10.1145/2461446.2461456. real-time systems," Real-Time ...
Year: 2017, Volume: 17, Number: 2
... test cases using voxels that have uniform intensity [46]. voting mechanism. RBF is a popular type of feedforward 3. Non-uniformity Correction: Structural MRI images network that comprises of two layers; one covered up and often involve problems like non-uniformity in intensity or one yield layer. LBR uses lazy learning method to ignore ...
Year: 2017, Volume: 17, Number: 2
... hyperspectral analysis. Thus, denoising is a very important process in image classification due to better classification accuracy hyperspectral image classification. Also, denoising can than artificial neural network(ANN)[16]. Therefore, improve spatial classification accuracy when used with researchers are focused on important strategies for designing spatial processing techniques. SVM ...
Year: 2017, Volume: 17, Number: 2
... The results that we obtained indicate that the accuracy of the [6] R. Hecht-Nielsen, "The Mechanism of Thought", International Joint Conference on Neural Networks, Vancouver, Canada, pp. 419-426, proposed expert system is higher and its' execution time July, 16- 21 2006. doi:10.1109/ ...
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