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Year: 2020, Volume: 20, Number: 3
... detected? d) Is it possible to improve the performance of 7641(20020315)3 :3 <285::AID-CPHC285>3.0.CO;2-A artificial neural networks with the controlled addition of [18] P. Hanggi, M. E. Inchiosa, D. Fogliatti, A. R. Bulsara, " ...
Year: 2020, Volume: 20, Number: 3
... as well. System level simulators are II. METHODOLOGY mostly oriented towards modeling the network behavior of the power converter and use numerical integration methods A. Methods, ... J. S. Shen and P. A. Hsiung, "Dynamic Reconfigurable Network-on- 10.1109/IEVC.2012.6183208. chip Design: Innovations for Computational Processing and [ ...
Year: 2020, Volume: 20, Number: 3
... no. 3, pp.2525 – 2536, March 2018. doi: Scale Dense Networks for Deep High Dynamic Range Imaging," in 10.1109/TIE.2017.2739708 Proc. ... ALHARBI1, Ishtiaq Rasool KHAN2, Wajid AZIZ2,3 1 Department of Computer& Network Engineering, College of Computer Science and Engineering, University of Jeddah, Jeddah ...
... digital mammograms using Mammographic Microcalcification Clusters", IEEE Transactions on mathematical morphology and neural networks", Signal Processing, Biomedical Engineering, vol. 62, no. ... and classified by using a three-layer feed-forward Artificial microcalcifications where a microcalcification's length is Neural Network (FFNN). The classifier reached the success less than 1 mm [ ...
Year: 2019, Volume: 19, Number: 4
... fourth-order I. INTRODUCTION cumulants, combined with artificial neural networks, in the Wireless signal recognition mainly includes modulation ... . In the case of known channel tree and neural network [16] -[ 17] classifier are ... ensemble learning," EURASIP Journal on Wireless Communications and Networking, vol. 179, no. 1, ...
Year: 2019, Volume: 19, Number: 4
... methods, problems. In order to use numerical methods, it is required neural networks, optimization, power system analysis to determine and define an initial point for ... in Electrical and Computer Engineering Volume 19, Number 4, 2019 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power Flow Problem Kadir ABACI, Volkan ...
137. Analysis and Control of a New Dual-input Impedance-based DCÂ…DC Converter for Hybrid PV-FC Systems
Year: 2019, Volume: 19, Number: 4
... . II. TOPOLOGY DESCRIPTION OF THE PROPOSED CONVERTER Impedance networks (INs) have been recently introduced The circuit ... . Consequently, due to combination of the quasi Z-source network with switched- 97 capacitors technique, realizing higher ... gains at rather Efficiency% small duty cycles is achieved without further increase of the 95 turns ratio of coupled-inductor ...
Year: 2019, Volume: 19, Number: 4
... the stated problem are explained. Design of the matching networks For a dual band operation matching network design with ... Volume 19, Number 4, 2019 Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm Sadık ÜLKER Electrical ... of Artificial Intelligence and tr/shop/select/pxi-vector-network-analyzer Applications, vol. 3, no. 4 ...
Year: 2019, Volume: 19, Number: 4
... is proposed. The new design integrates an the transformer from being saturated. These methods are additional bypass iron core which shares a partial magnetic demonstrated on a small network, but for large scale power path with the main core. By injecting high-frequency signals into the attached coil of the bypass core, the measured signals grid ...
Year: 2019, Volume: 19, Number: 4
... R. Matha, S. Ristoy, R. Prodan, "Multiobjective service for hyperspectral image classification", IEEE J. Sel. Topics Appl. oriented network provisioning in ultra-scale systems". European Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2183 – 2199, Jun ...
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