Showing 401 - 420 results of 677 for search 'transformation estimation algorithm', query time: 0.10s Refine Results
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    Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM by Zhenhong HE

    Published 2016-07-01
    “…In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and energy of curvelet sub-band coefficients in different scales and different orientations were extracted.The weights of sub-bands were estimated by generalized Gaussian distribution.The feature vectors with stronger classification ability had large weight,which were calculated to constitute feature vectors of iris image.Finally,feature vectors were matched and recognized by classifier combined with fuzzy support vector machine and binary decision tree.The algorithm performances were tested with UBIRIS and CASIA iris database.Simulation results show that the proposed algorithm has higher recognition accuracy rate and efficiency.It is feasibility.…”
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    Article
  3. 403

    SELECTIVE-PERMUTATIONAL METHOD FOR SOLVING PROBLEMS ON PARALLEL DISTRIBUTION OF TASKS AMONG PERFORMERS: SINGLE PERMUTATIONS by Rudolf A. Neydorf

    Published 2011-09-01
    “…The approach is based on the introduction of the concepts of distribution matrices, estimate criteria of their properties and a developed algorithm of their enhancing transformations. …”
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    Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features by Tianning Li, Yi Huang, Peng Wen, Yan Li

    Published 2024-11-01
    “…A random forest regression model was employed to estimate anesthetic states, and an unsupervised learning method using the Hurst exponent algorithm and hierarchical clustering was introduced to detect transitions between anesthesia states. …”
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  7. 407

    Non-contact physiological parameter detection based on the crested porcupine optimization by Jianli Pang, Anxue Huang, Qijie Xu, Lanfang Pang

    Published 2025-08-01
    “…Fast Fourier Transform (FFT) is then applied to estimate the corresponding vital signs, yielding respiratory and heartbeat rates with high accuracy. …”
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    Spaceborne THz-ISAR Imaging of Space Target with Joint Motion Compensation Based on FrFT and GWO by Ao Zhou, Qi Yang, Zhian Yuan, Hongqiang Wang, Jun Yi, Shuangxun Li

    Published 2025-06-01
    “…The algorithm includes the following steps: firstly, a coarse estimation of targets’ translational velocity at part of pulses is conducted through Fractional Fourier transform (FrFT). …”
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  11. 411

    Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

    Published 2025-08-01
    “…Nine deep learning models, including three basic architectures (Convolutional Neural Networks (CNN), Long Short-Term Memory Networks (LSTM), Transformer) and six hybrid structures (CNN-LSTM, LSTM-CNN, CNN-with-LSTM, CNN-Transformer, GAN-LSTM, Transformer-LSTM), were systematically compared to evaluate the impact of neural network structure on model performance. …”
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  12. 412

    Advancing thyroid diagnosis: integrating AI-driven CAD framework with numerical data and ultrasound images by Saleh Ateeq Almutairi

    Published 2025-07-01
    “…The proposed CAD framework employs the sparse search algorithm (SSA) for optimized feature selection from numerical data and the tree-structured Parzen estimator for tuning the hyperparameters. …”
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  13. 413

    Measuring Online Battery AC Resistance Using a DC-DC Converter With Time and Frequency Hybrid Method by Seong-Jong Kim, Hwa-Pyeong Park, Tae-Hwan Jin, In-Jun Lee

    Published 2025-01-01
    “…The AC resistance of a battery is one of the factors used to estimate the battery state, and is measured using a Fast Fourier Transform (FFT), a technique that analyzes the frequency components. …”
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  14. 414

    Micro-Doppler Frequency Extraction and Scatterer Classification for a Smooth-Surfaced Cone-Shaped Precession Target Under Narrowband Radar by Dan Xu, Siyuan Zhao, Kaiming Li, Jiang Qian, Mengdao Xing, Maria Sabrina Greco, Fulvio Gini

    Published 2025-01-01
    “…Then, the inverse Radon transform (IRT) and You Only Look Once version 5 algorithm are applied to locate and identify the peaks of cone vertex and cone base after IRT. …”
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  15. 415

    Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics by Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Krunal Vaghela, Ashish Singh, K. S. Ravi Kumar, Durga Prasad Bavirisetti

    Published 2025-07-01
    “…By utilizing this pixel-level prior, the method accurately estimates noise levels and subsequently applies a non-local Haar transform to execute the denoising process. …”
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    Nonuniformly Spaced Array with the Direct Data Domain Method for 2D Angle-of-Arrival Measurement in Electronic Support Measures Application from 6 to 18 GHz by Chen Wu, Janaka Elangage

    Published 2020-01-01
    “…This paper introduces a 2D angle-of-arrival (AoA) estimator, which has a 6–18 GHz 7-element nonuniformly spaced array (NSA) and a Direct Data Domain- (D3-) based AoA algorithm for a 2D isotropic-element planar array (IEPA). …”
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  19. 419

    Identification method of security in patrol inspection for distribution network equipment based on rapid discrimination of drone video image by WU Xueqiong, YU Haiping, FAN Yanhe

    Published 2025-04-01
    “…In view of the high-efficiency and low-cost security inspection requirements of distribution network equipment, the visual positioning algorithm of drone is designed from the principle of coordinate transformation, camera imaging model, vision based pose estimation principle and AprilTag pose estimation principle. …”
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  20. 420

    Topology optimization of the plate using neural networks by Yu. S. Selivanov, K. A. Matveev

    Published 2024-01-01
    “…The method of adaptive moment estimation is used as an optimization algorithm directly by the parameter of the neural network. …”
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