Estimation of Cement Asphalt Mortar Disengagement Degree Using Vehicle Dynamic Response by Hui Shi, Liqiang Zhu, Hongmei Shi, Zujun Yu

“…The accuracy and robustness of the estimation are discussed, and the results are compared with regular genetic algorithm. …”
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A 3D Image Reconstruction Model for Long Tunnel Geological Estimation by Yongtao Liu, Jie Qiao, Tianyuan Han, Longhui Li, Ting Xu

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An automated A-value measurement tool for accurate cochlear duct length estimation by John E. Iyaniwura, Mai Elfarnawany, Hanif M. Ladak, Sumit K. Agrawal

“…Results The registration algorithm had excellent qualitative overlap between the atlas and target images. …”
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Blind Direction-of-Arrival Estimation with Uniform Circular Array in Presence of Mutual Coupling by Song Liu, Lisheng Yang, Shizhong Yang, Qingping Jiang, Haowei Wu

“…A blind direction-of-arrival (DOA) estimation algorithm based on the estimation of signal parameters via rotational invariance techniques (ESPRIT) is proposed for a uniform circular array (UCA) when strong electromagnetic mutual coupling is present. …”
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Quad-Rotor Helicopter Autonomous Navigation Based on Vanishing Point Algorithm by Jialiang Wang, Hai Zhao, Yuanguo Bi, Xingchi Chen, Ruofan Zeng, Shiliang Shao

“…Quad-rotor helicopter autonomous navigation based on the vanishing point fast estimation (VPFE) algorithm using clustering principle is implemented in this paper. …”
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Angle Estimation Based on Wave Path Difference Rate of Change Ambiguity Function by Jianye Xu, Maozhong Fu, Zhenmiao Deng

“…By accumulating the conjugate-multiplied signals over multiple time steps, the Wave Path Difference Rate of Change Ambiguity Function (WPD-ROC AF) is constructed. A fast algorithm employing the 2D Chirp-Z Transform (2D-CZT) is proposed, enabling multi-pulse angle estimation through the identification of frequency and phase values corresponding to spectral peaks. …”
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Image Matching Algorithm for Transmission Towers Based on CLAHE and Improved RANSAC by Ruihua Chen, Pan Yao, Shuo Wang, Chuanlong Lyu, Yuge Xu

“…Building upon this, an improved three-stage feature matching strategy is proposed to estimate the geometric transformation between image pairs. …”
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RSS-TOA based localization algorithm in non-line-of-sight environment by Zhigang LU, ·ouming LI, Xianghong JIA, Shengming CHANG, Xiaoli WANG

“…The existence of non-line-of-sight (NLOS) error can degrade the positioning performance in wireless sensor network localization system,especially in indoor localization.To overcome the localization error caused by NLOS propagation,a localization algorithm was proposed based on received signal strength (RSS) and time-of-arrival (TOA).Firstly,a non-convex optimization problem was established based on RSS and TOA.Then,the original non-convex optimization problem was transformed into a convex optimization problem through the second-order cone relaxation technique,therefore a sub-optimal solution to the original problem could be obtained efficiently.Finally,computer simulation results show that the proposed method can provide higher estimation accuracy and better performance.…”
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Gauss process state-space model optimization algorithm with expectation maximization by Hongqiang Liu, Haiyan Yang, Tao Zhang, Bo Pan

“…Second, a Gauss process state-space model optimization framework with the expectation–maximization algorithm is proposed. In the expectation–maximization algorithm, the unknown system state is considered as the lost data, and the maximization of measurement likelihood function is transformed into that of a conditional expectation function. …”
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Inertial Sensor-Assisted High-Coverage Visible Light Positioning Algorithm by Fugui He, Chengyang Li, Chensitian Zhang, Yao Nie, Huan Wu, Xianglin Fan, Yang Yang

“…Finally, the position of the receiver based on the pose fusion model is estimated. IAS-SVG significantly improves the usability and coverage performance of visible light positioning algorithms. …”
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A First Look at River Discharge Estimation From SWOT Satellite Observations by Konstantinos M. Andreadis, Steve P. Coss, Michael Durand, Colin J. Gleason, Travis T. Simmons, Nikki Tebaldi, David M. Bjerklie, Craig Brinkerhoff, Robert W. Dudley, Igor Gejadze, Kevin Larnier, Pierre‐Olivier Malaterre, Hind Oubanas, George H. Allen, Paul D. Bates, Cédric H. David, Alessio Domeneghetti, Omid Elmi, Luciana Fenoglio Marc, Renato Prata de Moraes Frasson, Elisa Friedmann, Pierre‐André Garambois, Jaclyn Gehring, Augusto Getirana, Marissa Hughes, Jonghyun Lee, Pascal Matte, J. Toby Minear, Jérôme Monnier, Aggrey Muhebwa, Mohammad J. Tourian, Tamlin M. Pavelsky, Ryan M. Riggs, Ernesto Rodríguez, Md Safat Sikder, Laurence C. Smith, Cassie Stuurman, Jay Taneja, Angelica Tarpanelli, Jida Wang, Brent A. Williams, Bidhyananda Yadav

“…Abstract The Surface Water and Ocean Topography (SWOT) satellite has the potential to transform global hydrologic science by offering simultaneous and synoptic estimates of river discharge and other hydraulic variables. …”
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Background Radiance Estimation for Gas Plume Quantification for Airborne Hyperspectral Thermal Imaging by Ramzi Idoughi, Thomas H. G. Vidal, Pierre-Yves Foucher, Marc-André Gagnon, Xavier Briottet

“…In order to determine the contribution of the classification to the background radiance estimation, we compared the two approaches on synthetic data and Telops Fourier Transform Spectrometer (FTS) Imaging Hyper-Cam LW airborne acquisition above ethylene release. …”
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On efficiency of methods and algorithms for solving optimization problems considering objective function specifics by E. N. Ostroukh, Yu. O. Chernyshev, L. N. Evich, P. A. Panasenko

“…Introduction. The estimation of efficiency of methods and algorithms for solving optimization problems with a vector criterion and a set of nonlinear constraints is considered. …”
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Imaging Algorithm for Sea-Surface Ship Targets Based on Block Sparsity by Zhang Lin, Jiang Yicheng

“…The synchrosqueezing transform-STFT algorithm was introduced to perform transient imaging as a solution to the blurred imaging of ships due to the three-dimensional swing under the action of waves. …”
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An Improved Detecting Algorithm of Moving Targets for Airborne Maritime Surveillance Radar by Zhefeng Wu, Gang Zhang, Xinchun Wang, Peng Sun, Yanchao Lin

“…The higher-order phase difference between the adjacent pulses is estimated and compensated. Ultimately, such pulse series are accumulated through azimuth Fourier transform. …”
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Sub-Pixel Displacement Measurement with Swin Transformer: A Three-Level Classification Approach by Yongxing Lin, Xiaoyan Xu, Zhixin Tie

“…In order to avoid the dependence of traditional sub-pixel displacement methods on interpolation method calculation, image gradient calculation, initial value estimation and iterative calculation, a Swin Transformer-based sub-pixel displacement measurement method (ST-SDM) is proposed, and a square dataset expansion method is also proposed to rapidly expand the training dataset. …”
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Human Pose Estimation and Event Recognition via Feature Extraction and Neuro-Fuzzy Classifier by Muhammad Hanzla, Naif S. Alshammari, Shuaa S. Alharbi, Wasim Wahid, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu

“…Human detection is performed using the GrabCut algorithm. Full-body feature extraction incorporates 1-D Fourier Transform, 2-D energy-based motion analysis, 0–180° intensity mapping via the Radon Transform algorithm, and movable body part detection using Fourier-Based Correlation. …”
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Load magnitude and location estimation on additively manufactured circular structures using deep learning by Romaine Byfield, Ibrahim Tansel

“…Finally, the C shaped specimen had 48 test cases for three categories. Continuous wavelet transform (CWT) was used to obtain more representative presentation of the data to the deep learning algorithm. …”
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Combination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting by M. Ghayekhloo, M. B. Menhaj

“…The proposed method is a combination of a novel data clustering method,time-series analysis, and multilayer perceptron neural network (MLPNN). The proposed Transformed-Means clustering method is based on inverse data transformation and K-means algorithm that presents moreaccurate clustering results when compared to the K-Means algorithm; its improved version and also otherpopular clustering algorithms. …”
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A Hybrid Speech Enhancement Technique Based on Discrete Wavelet Transform and Spectral Subtraction by Yasir Iqbal, Tao Zhang, Teddy Surya Gunawan, Agus Pratondo, Xin Zhao, Yanzhang Geng, Mira Kartiwi, Nasir Saleem, Sami Bourouis

“…In low Signal-to-Noise Ratio (SNR) conditions, various approaches and algorithms are applied to improve speech quality and intelligibility. …”
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