An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint by Ye Zhang, Tenglong Yu, Wenwu Wang

“…Two common problems are often encountered in analysis dictionary learning (ADL) algorithms. The first one is that the original clean signals for learning the dictionary are assumed to be known, which otherwise need to be estimated from noisy measurements. …”
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Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance by Ning Li, Shuai Wan

“…The absolute median difference based on wavelet transform is used to estimate the multimedia video noise. …”
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A Spaceborne Passive Localization Algorithm Based on MSD-HOUGH for Multiple Signal Sources by Liting Zhang, Hao Huan, Tao Ran, Shangyu Zhang, Yushu Zhang, Hao Ding

“…To solve this problem, a spaceborne passive synthetic aperture localization algorithm based on the multiple-stay detector HOUGH transform (MSD-HOUGH) is proposed in this paper. …”
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Utilizing machine learning and digital twin technology for rock parameter estimation from drilling data by Abdullah Khan, Yiming Li, Muhammad Shoaib, Umair Sajjad, Fuxin Rui

“…It emphasizes the growing application of ML algorithms such as artificial neural networks (ANNs), support vector regression (SVR), random forest (RF), and convolutional neural networks (CNNs) for rock property estimation, underscoring the diversity of techniques utilized. …”
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A Rapid Intelligent Screening of a Three-Band Index for Estimating Soil Copper Content by Shiyao Liu, Shichao Cui, Rengui Wang, Minming Han, Jingtao Kou

“…A three-band index model was developed using the selected feature bands to estimate soil copper content. Results showed the first-order derivative spectrum transforms the spectral curve into a sharper one, with more peaks and valleys, which is beneficial for increasing the correlation between bands and copper content compared with the original spectrum. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…In another study, Akbari and Yazdanian (2023) applied machine learning algorithms to determine optimal thresholds for operational loss severity data, classifying the data and estimating the capital required to cover operational risk by integrating severity and frequency distribution functions with Monte Carlo simulation. …”
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An Algorithm for the Solution of Integro-Fractional Differential Equations with a Generalized Symmetric Singular Kernel by Sameeha A. Raad, Mohammed A. Abdou

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A Simulation-Based Algorithm for the Capacitated Vehicle Routing Problem with Stochastic Travel Times by Zheng Wang, Lin Lin

“…Based on the two key ideas, this paper presents a simulation-based algorithm, in which Monte Carlo simulation is used to obtain estimates of the cost and the reliability of each solution, and the Clarke and Wright heuristic is improved to generate more reliable solutions. …”
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An Iterative Shifting Disaggregation Algorithm for Multi-Source, Irregularly Sampled, and Overlapped Time Series by Colin O. Quinn, Ronald H. Brown, George F. Corliss, Richard J. Povinelli

“…This process repeats, refining estimates with each iteration cycle. The ISD algorithm’s key contribution is its ability to disaggregate multiple, nonuniformly spaced time series with overlapping intervals into a single daily representation. …”
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Algorithm for Taming Rubidium Atomic Clocks Based on Longwave (Loran-C) Timing Signals by Xiaolong Guan, Jianfeng Wu, Zhibo Zhou, Yan Xing, Yuji Li, Huabing Wu, Aiping Zhao

“…First, we use the Fourier transform algorithm to analyse the time-frequency characteristics of the time-difference data in detail and accordingly propose a de-jittering correction algorithm for the long-wave timing data, which is aimed at improving the stability of the long-wave timing signals. …”
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Standard anatomical and visual space for the mouse retina: computational reconstruction and transformation of flattened retinae with the Retistruct package. by David C Sterratt, Daniel Lyngholm, David J Willshaw, Ian D Thompson

“…Our validation studies indicate that the algorithm can estimate the position of a point on the intact adult retina to within 8° of arc (3.6% of nasotemporal axis). …”
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Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation by Fang Liu, Bing He, Yongbin Liu, Siliang Lu, Yilei Zhao, Jiwen Zhao

“…Based on the PSS, a fault pattern recognition algorithm, a bearing fault size prediction algorithm, and a RUL estimation algorithm are introduced to analyze the experimental signal. …”
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Research on the Improvement of the Signal Time Delay Estimation Method of Acoustic Positioning for Anti-Low Altitude UAVs by Miao Liu, Jiyan Yu, Zhengpeng Yang

“…Aiming at the problem of a large error in the time delay estimation algorithm under a low SNR, a time delay estimation algorithm based on an improved weighted function combined with a generalized cubic cross-correlation is introduced. …”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Additionally, the marching cubes algorithm completed volume estimation in just 0.05 s, confirming the approach’s accuracy and suitability for real-time applications in dynamic construction environments.…”
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Modeling and Simulation of English Speech Rationality Optimization Recognition Based on Improved Particle Filter Algorithm by Hui Dong

“…In importance sampling, based on the latest observation information, the unscented Kalman filter method is used to calculate each particle estimate to improve the accuracy of particle nonlinear transformation estimation; during the resampling process, auxiliary factors are introduced to modify the particle weights to enrich the diversity of particles and weaken particle degradation. …”
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Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…This study delves into the application of machine learning algorithms to enhance societal well-being by harnessing the transformative potential of machine learning advancements in the domain of blood glucose concentration estimation through regression analysis. …”
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Estimating Soil Cd Contamination in Wheat Farmland Using Hyperspectral Data and Interpretable Stacking Ensemble Learning by Liang Zhong, Meng Ding, Shengjie Yang, Xindan Xu, Jianlong Li, Zhengguo Sun

“…First, we pre-processed the spectra utilizing fractional-order derivative (FOD) and standard normal variate (SNV) transforms to highlight the spectral features. Second, we applied the competitive adaptive reweighted sampling (CARS) feature selection algorithm to identify the significant wavelengths correlated with soil Cd content. …”
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A Novel Directionlet-Based Image Denoising Method Using MMSE Estimator and Laplacian Mixture Distribution by Yixiang Lu, Qingwei Gao, Dong Sun, Dexiang Zhang, Yi Xia, Hui Wang

“…The expectation-maximization algorithm is used to estimate the parameters that characterize the assumed prior model. …”
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Phasor estimation using micro-phasor measurement unit (μPMU) in distribution network for situational awareness by B. Deepa, Santoshkumar Hampannavar, Swapna Mansani

“…A µPMU model is developed utilizing a recursive Discrete Fourier Transform (DFT) algorithm combined with high-precision filters to enhance accuracy. …”
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A Fast Fault Location Based on a New Proposed Modern Metaheuristic Optimization Algorithm by Mohammad Parpaei, Hossein Askarian-Abyaneh, Farzad Razavi

“…Moreover, a fast and accurate modern metaheuristic optimization algorithm for this cost function is proposed, which are key parameters to estimate the fault location methods based on optimization algorithms. …”
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