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Year: 2023, Volume: 23, Number: 3
... leveraging machine learning or statistical declared the list rules_created, which will serve as the models, the script can better identify anomalies and potential location for storing the source ... matching specific patterns to strings, enabling sophisticated gathered. A typical network environment was modeled search operations. With support for quantifiers, pattern using several different servers and ...
Year: 2023, Volume: 23, Number: 4
... . Siwakoti, "High gain converter by small signal modeling," Revue Roumaine des voltage gain bidirectional DC-DC ... u2 x4   1  4   converter model. In addition to that, state-space model 1 ... space are attained as shown below, III. STATE-SPACE MODELLING OF BDHGC   1  In EV charging ...
Year: 2023, Volume: 23, Number: 4
... , Intrusion Detection system. Malicious actors exploit machine learning model Systems, and Intrusion Prevention Systems are all examples ... machine ensemble method is utilized to construct robust classifiers learning models — Decision Tree (DT), Artificial Neural ... various types of attack traffic. The accuracy of the model's 2017 (CICIDS 2017) [13] dataset ...
14. Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image Features
Year: 2023, Volume: 23, Number: 4
... detection. Additional losses are incurred in the transformer during C. Transformer Core Saturation modeling – using Simulink non-sinusoidal operation, which damages the insulation, Transformer core saturation ... dry-type air Fluke TIS20 camera consists of Fluke Connect Mobile App, cooled transformer [Model No:KE756/25/7 /11/REF 1236] is ...
Year: 2023, Volume: 23, Number: 4
... of the paper outlines the theoretical and output of the frequency multiplier block. experimental model concerning both the standard and  SDistorted_ MPSK (t)  k ... of a frequency doubler (N =2) commonly characterized by Gaussian or Tikhonov models across modulation orders M= 2, 4, and 8. [39 ...
Year: 2023, Volume: 23, Number: 4
... and internal load angle of 60 deg, at 1000 modeling and simulations, the only difference consists in rpm ... the above presented research, one can say that experimental model validation and the fourth one future there are several ... upon the influence of different PM arrangements on propose two models destined to generating duty, with a machine performance ...
17. Transfer Learning Based Convolutional Neural Network for Classification of Remote Sensing Images
Year: 2023, Volume: 23, Number: 4
... , I. Zinicovscaia, "Processing, neural network-based modeling of doi:10.1109/lgrs.2015.2475299. biomonitoring studies ... . Convolutional Neural Network with data augmentation and optimization of model parameters gives better performance The contributions of the work ... scratch. Transfer learning overcomes this drawback by using pre-trained models efficiently. In the proposed work, a transfer ...
Year: 2023, Volume: 23, Number: 4
... obtain constant frequency control [8-10]. MATLAB/Simulink software is used to model these For automotive applications, [11-13] shows a resonant LED topologies. ... . operating characteristics are compared with the other doi:10.1109/TIE.2022.3192602 classical topologies modelled in MATLAB/Simulink. The [16] A. Sepahvand, M ...
Year: 2023, Volume: 23, Number: 4
... range of speed control, easy are presented, and modeling work is carried out using ANSYS manufacturing, maintenance ... efficiency, torque, In this paper, a new model of a V-shaped interior buried power densities, and ... capability [17-19]. The permanent magnet synchronous motor (VSIBPMSM) is main challenging factors for the design ...
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... , and H. O. Wang, "Fuzzy modeling via sector Eng., vol. 6, ... the GFR maintains the PCC voltage with the power from model. BESS and the power injected by DG-based GFD ... for the GFR in GTM, Takagi-Sugeno (TS) models and is required to achieve an effective identification of ...
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