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Search results for: neural network
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Year: 2021, Volume: 21, Number: 1
... operating system. Additionally, disadvantage of long-term use is neural Experimental studies are performed to compare the proposed conformations ... , M. systems," IEEE Transactions on Neural Networks and Learning Sartori, "A dynamically consistent model ... a motorized ankle-foot Systems, vol. 28, no. 8, pp. 1914-1928. orthosis," ...
Year: 2021, Volume: 21, Number: 1
... II. RELATED WORKS [14], and Deep Neural Networks [27-28]. However, several Several ... the top part of the figure and a two-cycle communication networks technologies has successfully anomaly heart sound signal in the ... benchmark suite for the (PCG) using deep neural network," Phys Eng Sci Med 43, pp ...
Year: 2020, Volume: 20, Number: 4
... downlink direction. The proposal applies an integration of Random Neural Networks (RNN) with a Genetic Algorithm ( ... Number 4, 2020 Latency-Rate Downlink Packet Scheduler for LTE Networks Fabian Maurice MALHEIROS FRANCO, Augusto FORONDA, and ... station, which does resource scheduling through a multiple access network discipline, which consists in managing the packet technology ...
64. Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length Codewords
Year: 2020, Volume: 20, Number: 4
... [14], analog-to-digital converters [15] or neural networks [16]. Scalar quantization is a ... where real-valued The emphasis in this paper is on logarithmic μ-law samples generated by the input source are mapped to ... proposed the Gaussian pdf, e.g. weights in neural network. quantizer (N1= 32, N2= ...
Year: 2020, Volume: 20, Number: 4
... different economic load dispatch problems," IEEE Proceedings of ICNN'95- International Conference on Neural Trans. Power Syst., vol. 25, pp. 1064 €“ ... , 2010. Networks Perth, WA, Australia, pp. 1942-1948, 1995. doi:10.1109/TPWRS.2009.2034525 doi:10.1109/ICNN.1995.488968 [10] T ...
Year: 2020, Volume: 20, Number: 3
... objects in the same way as humans. contents. They trained a deep convolutional neural network RealSense cameras have three lenses: a conventional to design a loss function ... edge-preserving smoothing RGB (Red Green Blue) camera, an infrared (IR) camera and which runs faster than most state-of-the-art smoothing an infrared laser projector. All ...
Year: 2020, Volume: 20, Number: 3
... , 1994. Proceedings of the IEEE International Conference on Neural [38] R. Cooper, "Introduction ... queueing theory", 2nd Ed. New York, Networks, vol. IV, pp. 1942 €“ ... find the balance between the negative selection, and immune network algorithms. In this patient admission and costs for ...
Year: 2020, Volume: 20, Number: 3
... [48] H. Mohammed, A. Meroufel, "Contribution to the Neural network and design, IEEE Trans. on Fuzzy Systems," Vol. ... DFIM) [1, 6]. The stator is feed by a fixed network Vrq € ƒ Rr € sr ƒ irq € Lr € V sq ...
Year: 2020, Volume: 20, Number: 3
... 1] diagnosis. In this research, Deep Convolution Neural Network classified the different stages of Alzheimer's disease using ... models. The basic functionality of both DCNN convolutional neural networks for classification. In the and VCNN follow convolutional ... network model. preprocessing step, various operaions such as skull Algorithm 1. Alzheimer's Disease Classification Model stripping, ...
Year: 2020, Volume: 20, Number: 3
... 20020315)3 :3 <285::AID-CPHC285>3.0.CO;2-A artificial neural networks with the controlled addition of [18] P. Hanggi, M ... E. Inchiosa, D. Fogliatti, A. R. Bulsara, "Nonlinear stochastic resonance: the saga of anomalous output-input gain", noise? e ...
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