265 results found containing all search terms.
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 ...
Terms matched: 2 - Score: 6 - 1,814k
Year: 2014, Volume: 14, Number: 2
... ) precedes the edges at the related points where the gradient clustering, and artificial neural network (ANN) for OD has the highest value. region's segmentation. ... experimental results show that The main contribution of this work is to develop an the overall disc segmentation results using ACM and ANN automatic system for unsupervised D&S ...
Terms matched: 2 - Score: 6 - 1,080k
Year: 2017, Volume: 17, Number: 2
... due to better classification accuracy hyperspectral image classification. Also, denoising can than artificial neural network(ANN)[16]. Therefore, improve spatial classification accuracy ... used with researchers are focused on important strategies for designing spatial processing techniques. SVM such relevance kernel function selection, kernel Therefore, denoising in hyperspectral image classification parameter ...
Terms matched: 2 - Score: 6 - 1,546k
Year: 2016, Volume: 16, Number: 3
... equation, or the quantum NEGF concentrations as well as of any other ionized or neural method. We assume that the doping sensitivity functions of impurities existent in the ... algorithm that we present below can be applied to current and potentials in the circuit network. any transport model that can be used to simulate the C-V  N1 ...
Terms matched: 2 - Score: 6 - 1,752k
Year: 2012, Volume: 12, Number: 4
... A. Ouamri, A. Nait-Ali, M. Keche, "Fault Tolerant Neural pag. 481-487, Springer-Verlag Berlin Heidelberg 2011, Network for ECG Signal Classification ... ", Advances in [24] G. Antoniol, P. Tonella, "EEG data compression techniques", IEEE Electrical and Computer Engineering, Number 3 ...
Terms matched: 2 - Score: 5 - 608k
Year: 2023, Volume: 23, Number: 2
... J. W. Jiang and A. Emadi, Switched Reluctance Motor trained with neural networks or computational intelligence Drives: Fundamentals to Applications, CRC Press, pp ... 12-70, 2018. methods which can solve regression problems. Hence, this doi:10.1201/9780203729991 regression model can be included in the developed models. [ ...
Terms matched: 2 - Score: 5 - 1,988k
Year: 2018, Volume: 18, Number: 3
... not improved in short interval until the next sign is classification using colour feature and neural network," In Intelligent found, but the Von Kries coefficients found in ... previous Control Power and Instrumentation (ICICPI), pp. 307-311, 2016. signs can be applied equally or with different weights. doi:10.1109/ICICPI.2016.7859723 ...
Terms matched: 2 - Score: 5 - 7,040k
Year: 2017, Volume: 17, Number: 3
... 11(2 ),, pp. 1679 – 1696, international conference on neural networks proceedings, Vols. 1 – 6 2011 pp. 1942 – 1948 ... 1995 [25] H. Wang, Z. Wu, S. Rahnamayan, H. Sun, Y. Liu, J. Pan, "Multi ...
Terms matched: 2 - Score: 5 - 1,345k
Year: 2012, Volume: 12, Number: 3
... pp. 185-190, 2001. motor drives at very low and zero speeds using neural network flux [3] H. Tajima, and Y. Hori, ... Speed sensorless field oriented control of observers" IEEE Transactions on Industrial Electronics, vol. 56, pp. the Induction machine," Proceedings of the IEEE Conference ...
Terms matched: 2 - Score: 5 - 611k
Year: 2017, Volume: 17, Number: 2
... J. Kennedy, R. Eberhart, "Particle swarm optimization", in Neural the art". Comput Methods Appl Mech Eng, vol. 191, ... , pp. Networks, Proceedings, IEEE International Conference on, vol. 4, pp. 1245-1287, 2002. doi:10.1016/S0045-7825(01) ...
Terms matched: 2 - Score: 5 - 1,375k