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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/ ...
Year: 2017, Volume: 17, Number: 2
... intensity compared to that of a the young of adults. A. Syllable transition probability Kim et al found significant decreases in reading speed We constructed a convolutional neural network (CNN) to between a group of elderly people aged between 60 and 70 generate feature vectors that are fed into a fully-connected and a group of people ...
Year: 2017, Volume: 17, Number: 2
... R. Eberhart, "Particle swarm optimization", in Neural the art". Comput Methods Appl Mech Eng, vol. 191, no.11-12, pp. Networks, Proceedings, IEEE International Conference on, vol. 4, pp. 1245-1287, 2002. doi:10.1016/S0045-7825(01)00323-1 1942 – ...
Year: 2017, Volume: 17, Number: 2
... , A. Pradeep, "A comparative Study of Artificial Neural [26] P. Rosin, E. Ioannidis, "Evaluation of Global Image Thresholding for Network Based Power Quality Signal Classification Systems with Change Detection," Pattern Recognition Letters, vol. 24, no. 14, pp. Wavelet Coefficients and Wavelet ...
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