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Search results for: wavelet
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1. Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features
Year: 2024, Volume: 24, Number: 1
... these systems use various fusion-level techniques. These systems for the palm, face, and iris. These models use deep techniques include sensor-level fusion, feature-level fusion, wavelet transform networks (WTN) for face and iris match-score-level fusion, and decision-level fusion [7]. In identification and deep convolutional neural networks (CNNs) ...
Year: 2024, Volume: 24, Number: 1
... 30]. Considering the speed of the EV simulated for the rear wheels driven by two motors utilizing and steering wheel, rear in wheel-motor speeds are a new wavelet controller. Various road conditions including calculated by Simulink. As a result, it is observed that the the curve or straight are considered in the simulations. ...
3. Transformer Core Saturation Fault Analysis using Current Sensor Signals and Thermal Image Features
Year: 2023, Volume: 23, Number: 4
... dilation factor where Q and P are integers. The wavelets for Low/High line voltage, non-linear / ... other monitoring equipment. Current signal Modified- Tunable Q-factor Wavelet Transform and Rational parameters from the CTs during normal ... CT signals are used as reference for detecting Multi Resolution Wavelet-Deep Convolutional anomalies and faults in transformers. Transformer core ...
Year: 2023, Volume: 23, Number: 4
... images using a combination Neural Network (S-CNN) with supervised feature extraction of MobileNetv2 transfer learning model and Discrete was proposed for hyperspectral image classification [18]. Wavelet Transform (DWT) was proposed [7]. Multi-objective neural evolution based network architecture Remote sensing scene classification based on CNN with was proposed for remote sensing ...
Year: 2023, Volume: 23, Number: 2
... as small as possible and contains the maximum amount of wavelet transform method for obtaining the time-frequency relevant information to ... (Table II). For the binary problem, Wavelet_db4_EnergyBand1, Wavelet_db4_EnergyBand2, two classes are used to predict ... ongoing seizures by a Wavelet_db4_EnergyBand3, Wavelet_db4_EnergyBand4, supervised binary classifier. The pre-ictal is used as the Wavelet_db4_EnergyBand5} ...
Year: 2023, Volume: 23, Number: 1
... . such as STRRED [30]. STRRED uses Gaussian scale The media-layer models use audio or video signals to mixture (GSM) to model the statistics of wavelet evaluate QoE. These models do not require any prior coefficients and compute the entropic differences (RRED) knowledge about the system under consideration, such as between ...
Year: 2022, Volume: 22, Number: 4
... 4] A. D. Spyronasios, M. G. Dimopoulos, and A. A. Hatzopoulos, analog circuit fault diagnosis using 1-D convolutional neural "Wavelet Analysis for the detection of parametric and catastrophic network," IEEE Access, vol. 8, pp. 18305 – 18315, 2020. faults in mixed-signal ...
Year: 2022, Volume: 22, Number: 3
... of application, an object detection algorithm should be and feature computation use the Haar wavelet [13]. invariant to some photometric, geometric, and affine On ... there are [13] P. Porwik, A. Lisowska, "The Haar-wavelet transform in digital image processing: its status and achievements," Machine graphics ...
Year: 2022, Volume: 22, Number: 2
... To reduce the adverse effects of the inherent methods contain Empirical Mode Decomposition (EMD) [1- stochastic volatility and uncontrollability of new energy on 2] and Wavelet decomposition (WD) [3-4], multi-factor wind energy forecasting, this paper starting from the two PCA analysis [5 ], and so on. ...
Year: 2022, Volume: 22, Number: 1
... , H. Chen, "Time series prediction of wireless Things (IoT): Smart home context," Journal of Computer Information network traffic flow based on wavelet analysis and BP neural Systems, vol. 60, no. 6, Nov. 2020, pp. 507 – 517. network," Journal of ...
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