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Year: 2020, Volume: 20, Number: 4
... ]. Benmalek and (HGKA-OA) for cloud computing networks. The proposed Challal proposed a new multi-group key ... dynamic weakness of the OFT scheme against collusion attacks was network of sensors and analyzed them under strong active addressed ... Chen, H. Dijiang, "An efficient broadcast Networking and Parallel/Distributed Computing (SNPD), ...
Year: 2022, Volume: 22, Number: 2
... post-processing task for semantic cloud perception based on backbone neural networks. This segmentation. They predict instances as clusters ... Technology, Xi'an, China 2 Shaanxi Key Laboratory for Network Computing and Security Technology, Xi'an, China haowen ... (PFE) module is used to enrich the segmentation network's input data by indicating the relative soft weights. ...
Year: 2023, Volume: 23, Number: 1
... Although the application of machine learning, especially deep neural networks, allows for the creation of highly stalling events ... in LIVE-NFLX-II database, Quality of Experience, video quality network services where the result is available only on the ... with MOS values. These differences International IFIP TC 6 Networking Conference, Valencia, Spain, May 9-13, ...
Year: 2014, Volume: 14, Number: 1
... model performed by Learning (ML) and Artificial Neural Networks (ANN) have Multilayer Perceptron classifier has the ... function for an artificial neural functioning of the developed neural network (NN) method network in their study. ... learning approaches, is used. A. Multilayer perceptron RBFNetwork is used as the most convenient algorithm for The ...
Year: 2017, Volume: 17, Number: 3
... [17], the In power systems, distribution networks deliver electrical grid search method (GSM) has ... SVM) parameters used for electrical mapping, artificial neuron network (ANN) has been widely fault diagnosis in ... ," Department of Computer Science, National Taiwan neural network-aided evidence theory," IET Gener. Transm. ...
Year: 2016, Volume: 16, Number: 3
... temperature dynamics from the information provided by the artificial neural networks can be useful to deal with this train-test sets ... of the test samples. In this paper different neural network models are analyzed, including non-linear autoregressive neural networks ... . S. R. Jang, "Anfis- Adaptive-Network-Based Fuzzy Inference Conference on Industrial Technology (ICIT) ...
Year: 2012, Volume: 12, Number: 3
... that its application domain is limited to static power transmission networks. But the structural expansion problems. Moreover, ... of fuzzy logic systems and with the learning capability of network. neural network systems. The combinations of the ... . 3, pp. 752-756, May 2002. Network-based intelligent control for improving dynamic [30] S ...
Year: 2023, Volume: 23, Number: 3
... are two widely used relaying protocols in 6G wireless communication networks have significant cooperative communication networks, namely amplify-and- ... 14], the authors suggested a user-fairness approach for network capacity and the spectrum efficiency of future DF relay-assisted ... with the nth best-relay selection scheme," IEEE and Networking (BlackSeaCom), Bucharest, Romania, 2021 ...
Year: 2013, Volume: 13, Number: 2
... Radiation Pattern Influence on the Localization Accuracy in Wireless Sensor Networks Eugen COCA, Valentin POPA Stefan cel Mare University ... literature, the localization accuracy of a wireless sensor node network. By nodes are assumed to have an ideal ... microcontroller's ADC accuracy being the main limitation. Transactions on Networking, vol. 18, no. 6, ...
Year: 2016, Volume: 16, Number: 4
... detailed knowledge of the topology and is designed for low-voltage networks. An advantage of this simulator is that it ... Power Line Communication System for Smart Metering and Home Area Network Petr MLYNEK1, Zeynep HASIRCI2, Jiri MISUREC1, ... also focuses on the simulation of channel transfer function Area Networking (HAN) [6]. NB-PLC can ...
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