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Search results for: neural network
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Year: 2015, Volume: 15, Number: 3
... to the fact that most of the known machine ï‚· neural network- multilayer perceptron [43-44]; learning ... in a workload's life cycle consumptions and modelled with queuing networks. The at which management is applicable. They ... the fact that most of the known machine ï‚· neural network- multilayer perceptron [43-44]; learning methods ...
Year: 2023, Volume: 23, Number: 1
... terms of the output of the turbo encoder. A neural network is used in BER, FER and average ... of iterations, while requiring [12] to stop turbo decoding. Another rule called Sign less complexity [ ... " IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, Montreal, QC, Canada, ...
153. Fault Detection and Localization in Transmission Lines with a Static Synchronous Series Compensator
Year: 2015, Volume: 15, Number: 3
... 1.5% of the transmission line length which is and Neural Networks", IEEE Trans. on Power Delivery ... localization method for power transmission lines with a Static transmission networks with power electronic devices in Synchronous Series Compensator ( ... systems, transmission lines, wavelet transform, waves transmission network which may lead to over-reach in propagation. conventional ...
Year: 2024, Volume: 24, Number: 2
... to manually adjusts image parameters to enhance certain ensure the neural network training had good generalization features of the image ... obtaining a final image that is ability. Optimum Enhancement WACs Find the Gamma Image Multi-level vector Keypoints Optimum maximum ... was done to ensure as much as possible the neural network's generalization ability, allowing the detector to accurately infer ...
Year: 2011, Volume: 11, Number: 2
... analysis, and this is possible The methods such as neural networks, genetic algorithm, with VF method, ... fuzzy logic, and so on can be included in this group [18]- d- Since the ... . Li, "Application of artificial neural 2004. network to the detection of the transformer winding deformation, ...
Year: 2021, Volume: 21, Number: 2
... ) Anger, two categories; first one is Convolutional Neural Networks (b) Contempt, (c) ... , (d) Fear, (e) Happy, (f) Sadness, (g) Surprise ... , and Q. Wang, "Deep Gabor convolution network doi:10.1016/j.patcog.2017.12.006 for person re-identification, ...
Year: 2021, Volume: 21, Number: 4
... , M. Niebner, "SG-NN: Sparse Generative Neural constraints for 3D indoor modelling," Automation in ... , Networks for Self-Supervised Scene Completion of RGB-D Scans," vol. 106, pp. 102913.1-102913.21, Oct ... 710048, Xi'an, China 2 Shaanxi Key Laboratory of Network Computing and Security Technology, 710048, Xi'an, ...
Year: 2017, Volume: 17, Number: 3
... Number 3, 2017 V. CONCLUSION Trans. on Neural Networks, 20(6 ): pp. ... , 2009. doi:10.1109/ TNN.2009.2014228 Multi-degrees of freedom gap clearance control of quad- [17] ... : 978-1-4244-3826-6. Available: Rail System Using Fuzzy Neural Network", IEEE Trans. on Control http: ...
Year: 2010, Volume: 10, Issue: 4
... , in Proc. IEEE Int. Conf. on Neural Networks, pp. 1942-1948, 1995. DOI ... 10.1109/ICNN.1995.488968. [10] D. Sedighizadeh and E. Masehian, "A new taxonomy for ... avoid obstacles corners, their vertices were incorporated in the network of random nodes. 73 Advances in Electrical and ...
Year: 2017, Volume: 17, Number: 4
... :10.1007/s11556-011-0093-x. using nonlinear dynamics, artificial neural networks and neuro-fuzzy [13] M. Zyda ... and Q4 "I think that I support vector regression networks (SVR) are used for would need the ... acquired progress and on the extracted reference points. Each network has part of emotional state. Both features increase ...
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