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Search results for: neural network
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Year: 2021, Volume: 21, Number: 4
... the flight route, there was no significant quadruplet convolutional neural networks," in Proceedings of the difference addition ... the success between windless and IEEE conference on computer vision and pattern recognition, 2017, pp. 5620-5629. ... , M. f. Zhou, "Decentralized PID neural network artificial intelligence," MIT press, 1992. ...
Year: 2021, Volume: 21, Number: 4
... , pp. 33-55, 2019. detection using artificial neural networks," 20th Conf. Open doi: ... ENISA), the recent changes in the cyber computer networks, aiming to band together all the threat landscape ... 21, Number 4, 2021 Machine Learning Enhanced Entropy-Based Network Anomaly Detection Valentina TIMCENKO1,2, Slavko GAJIN1 ...
Year: 2021, Volume: 21, Number: 4
... under electricity markets," to-grid aggregator for frequency regulation," IEEE Transactions on Neural Computing and Applications, vol. 23, no. 7, pp. ... of EVs in be monitored and controlled efficiently [3-4]. Previous the distribution network contributes to the increment of capital works investigated the power aggregator of EV, ...
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: 2021, Volume: 21, Number: 4
... model has obvious performance historical data. Therefore, artificial neural network as a advantages, is conducive to the ... , y (2) Compared with other traditional neural networks, the original signal, and ξ represents the ... frequency. LSTM has the ability to learn long-term dependent information, which can deeply explore the complex (b ...
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 ...
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