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Year: 2021, Volume: 21, Number: 3
... . Zhang, X. Guo, X. Zhang, "Modelling of Back-Propogation Neural [37] L. Zhang, C. Lyu, L. Wang ... , "Optimization of doi:10.1016/j.jpowsour.2019.226974 Charge/Discharge Co-ordination to Satisfy Network Requirements [36] C. Edouard, M.Petit, C. Forgez, ...
Year: 2021, Volume: 21, Number: 3
... of Diabetic Retinopathy Disease with Transfer Learning using Deep Convolutional Neural Networks Krishnamoorthy SOMASUNDARAM1, Paulraj SIVAKUMAR1, Durairaj SURESH2 ... Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India 2 Department of Computer ... In general, using deep information, a Convolutional Neural Network (CNN) models which possesses an image with ...
Year: 2021, Volume: 21, Number: 3
... of our system in real-time. Index Terms — artificial neural networks, computer networks, intrusion detection, Domain ... to Authoritative Name Server network-based system is proposed on live networks to prevent the common DNS tunneling threats over DNS ... in Fig. 1. Networks trained with various deep network topologies by 4. To ensure efficient address resolution ...
Year: 2021, Volume: 21, Number: 3
... data mining methods to Applications with Noise (DBSCAN) [3 ], Artificial Neural improve the Maritime Situational Awareness, handling existing difficulties for example automatic maritime route ... , Turkey yunus@cs.deu.edu.tr 1 Abstract — This paper addresses the discovery of hidden Network [4 ], Random Forest [5 ], Support Vector Machines patterns ...
Year: 2021, Volume: 21, Number: 3
... Number 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan ... , high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity ... In this paper, we came quantizer models that are robust to changes in the variance of input data is ...
Year: 2021, Volume: 21, Number: 2
... their accuracy and processing time. control block. Some neural network-based PD detection techniques have TABLE I. AN ... distributed energy resources," in 2018 IEEE PES Innovative networks trainer," in 2009 International Conference on Intelligent ... due to utility failure or short circuit in the power network. Disturbance of even a few cycles is of ...
Year: 2021, Volume: 21, Number: 2
... of high speed tangent sigmoid transfer doi:10.1002/j.1538-7305.1949.tb00928.x function approximations for artificial neural network applications on [2] L. Kocarev, "Chaos-based cryptography: ... brief overview," IEEE FPGA," Advances in Electrical and Computer Engineering, vol. 18, Circuits and Systems Magazine, vol. 1, no. ...
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: 2
... , M. Liu, "Self-learning interval type-2 fuzzy neural doi:10.1109/TIA.2003.821667 network controllers for trajectory ... , for online learning as applied to type-2 fuzzy neural networks and its Man, Cybern. B, Cybern ... the principles of general type-2 fuzzy controller for urban traffic network," ISA sliding mode, direct torque control ...
Year: 2021, Volume: 21, Number: 1
... . Thomas. Elements of information theory. efficient convolutional neural networks and contrast limited adaptive Hoboken, New Jersey ... John Wiley& Sons, p. 7, 2006. histogram equalization," IEEE Access, vol. ... Computer Methods and Programs in Biomedicine, vol. neural network ensembles in probabilistic hydrological forecasting," 187, ...
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