Assessing Computational Complexity in Selecting Periods for LMDI Techniques in Energy‐Related Carbon Dioxide Emissions: An Alternative Approach by Juan David Rivera‐Niquepa, Jose M. Yusta, Paulo M. De Oliveira‐De Jesus

“…The methodology comprises two stages: the first generates an exhaustive list of possible time series partitions, and the second determines the optimal partition by minimizing the total mean square error (TMSE) using sequential linear models. The results, supported by computational performance tests, demonstrate that the proposed method effectively identifies optimal time frame definitions, making it particularly suitable for annualized case studies on carbon dioxide emissions decomposition in the context of the energy transition.…”
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Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction by Tianya Zhang, Peter J. Jin

“…Then, the dynamic mode decomposition method is applied to decompose the LiDAR data into low-rank backgrounds and sparse foregrounds based on intensity channel pattern recognition. …”
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Bias and standard deviation mean and maximum Doppler frequency estimators by K. MARASEK, A. NOWICKI

“…The SNR ratios were changed over the range from 0 to 20 dB. The AR and ARMA models orders selections were done independently according to Akaike Information Criterion (AIC) and Singular Value Decomposition (SVD). …”
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Service quality assessment in IT projects based on aggregate indicators by A. E. Krasnov, A. A. Sapogov

“…The purpose of the present work is to develop an approach to assessing the quality of work (services) in the framework of IT projects based on nonlinear aggregation of indicators.Methods. The proposed approach to assessing service quality within IT projects is based on nonlinear aggregation of a number of indicators involving a preliminary decomposition of the system into private indicators. …”
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Fault Prediction of Bearing Based on Dual Dimensional Perception and Composite Gated Recurrent Network by Wang Weiping, Xue Shibei

“…This paper proposes a research method for early degradation fault perception and prediction of bearings based on dual dimensional feature perception and composite gate controlled recurrent network (composite GRU). …”
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Retrieval of Surface Soil Moisture at Field Scale Using Sentinel-1 SAR Data by Partha Deb Roy, Subhadip Dey, Narayanarao Bhogapurapu, Somsubhra Chakraborty

“…Moreover, the proposed method is also compared with the Chang model, designed to estimate soil moisture in vegetative fields. …”
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GENERALISED ANALYSIS OF A DYNAMIC SYSTEM FOR THE PRESENCE OF SIGNS OF THE JORDAN FORM by R.A. NEYDORF, N.H. PHAN

“…A mathematical model and algorithms for estimation of the presence of Jordan signs in controllable multidimensional systems on the basis of which a decomposition of these multidimensional systems into Jordan sub-systems has been built.…”
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Hybrid energy storage systems for photovoltaic storage microgrids power allocation and capacity determination based on adaptive Savitzky-Golay filtering and VMD-DTW by Zengqiang Ma, Zejia Zhou, Tianming Mu, Cheng Wen

“…Additionally, a State of Charge (SOC) dynamic transformation model and a full life cycle-based HESS cost model are constructed to quantitatively assess the method’s efficacy and advantages. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…Detection of rail corrugation wavelength and depth is absolutely essential for maintenance and safety. A novel method using wheel vibration acceleration is proposed in this paper, in which ensemble empirical mode decomposition (EEMD) is employed to estimate the wavelength, and bispectrum features are extracted to recognize the depth with support vector machine (SVM). …”
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A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions by Chengyao Liu, Fei Dong

“…To prove the cross-domain fault diagnosis performance and superiority of the proposed methods, two bearing datasets are applied for experiments, and the experimental results verify that the model built by the proposed framework can achieve desirable diagnosis performance under different working conditions and that it apparently outperforms comparative models.…”
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Parameter-Matching Multi-Objective Optimization for Diesel Engine Torsional Dampers by Zhongxu Tian, Zhongda Ge

“…A torsional vibration model was developed using Cholesky decomposition and the Jacobi sweep method for free vibration analysis, followed by dynamic response calculations through model decoupling and modal superposition. …”
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Remaining Useful Life Interval Prediction for Lithium-Ion Batteries via Periodic Time Series and Trend Filtering Segmentation-Based Fuzzy Information Granulation by Chunsheng Cui, Guangshu Xia, Chenyu Jia, Jie Wen

“…The construction method for periodic time series is used to form a new dataset from the original data, based on which the fusion model, by combining the variational mode decomposition (VMD) and gated recurrent unit (GRU), is used as the RUL interval prediction model of LiBs. …”
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DETERMINING PREFERENCES IN RECOMMENDER SYSTEMS BASED ON COMPARATOR IDENTIFICATION TECHNOLOGY by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Mariia Alokhina, Viktor Кosenko

“…The following tasks are solved in the article: review and analysis of the current state of the problem of identifying advantages between objects and their ranking in the lists of recommender systems; analysis of filtering methods used in recommendation systems; decomposition of the decision support problem for selection of objects; development of a combined method for ranking objects in the lists of recommender systems, combining the procedures for selecting a subset of Pareto-optimal objects, structural-parametric synthesis of a scalar multi-criteria estimation model, and evaluating the entire set of selected objects. …”
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Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm by Diming Zhang, Yuchen Xu, Yuanjiang Li

“…It achieves average R2 metric improvements of 5.6%, 7.6%, and 10.9% for the three-step-ahead forecasts, respectively, compared to benchmark models. Consequently, the proposed method offers more accurate forecasting, contributing to the safe and stable operation of power systems.…”
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Technique on Vehicle Damage Assessment After Collisions Using Optical Radar Technology and Iterative Closest Point Algorithm by Shih-Lin Lin, Yi-Hsuan Chen

“…We apply the Iterative Closest Point (ICP) algorithm and Singular Value Decomposition (SVD) methods, along with a proposed deep learning neural network optimization model, to perform point cloud alignment between the pre-collision and post-collision vehicle models. …”
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Research on Airflow Background Noise Suppression for Aeroacoustic Wind Tunnel Testing by Yuanwen Li, Min Li, Daofang Feng, Debin Yang, Long Wei

“…Therefore, an Airflow Background Noise Suppression method based on the Ensemble Empirical Mode Decomposition (ABNSEEMD) is proposed to eliminate the influence of background noise on aeroacoustic field reconstruction. …”
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基于PolyMAX法的齿轮箱试验模态分析 by 王佳, 潘宏侠, 杨晓波

“…Based on the method of PolyMAX,a system of modal analysis is built,the model of JZQ-250 gear-box is set up under the LMS modal analysis module.The relating modal datum are obtained by hammering test of single-input multi-output analysis method,then the transfer function is established after the analysis of modal datum.The various modal parameters of the gearbox are obtained by order selection and fitting of the datum which extracted through the method of PolyMAX Modal Parameter Identification.Through the comparison with calculating modal,the validity and reliability are proved.The theoritical basis for the improvement of the gear box structure characteristics and the fault diagnosis of gearbox are provided.The natural frequency is extracted from the modal analysis,the wavelet decomposition of the corresponding frequency band component is removed,and the noise reduction processing on the fault signal is achieved.…”
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Unconventional Bearing Capacity Analysis and Optimization of Multicell Box Girders by Jovan Tepic, Rade Doroslovacki, Mirko Djelosevic

“…This study deals with unconventional bearing capacity analysis and the procedure of optimizing a two-cell box girder. The generalized model which enables the local stress-strain analysis of multicell girders was developed based on the principle of cross-sectional decomposition. …”
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Analysis of Power System Flexibility Regulation Adequacy Based on Mathematical Morphology by Feng ZHANG, Hengjian FAN, Hui DENG, Le FANG, Ziqing ZHOU, Zhiyi LI

“…Based on the theory of morphological decomposition, a model for analyzing the adequacy of flexible regulation capacity of the power system considering the characteristics of energy storage is established. …”
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The Numerical Investigation of Fractional-Order Zakharov–Kuznetsov Equations by Pongsakorn Sunthrayuth, Farman Ali, A. A. Alderremy, Rasool Shah, Shaban Aly, Y. S. Hamed, Jeevan Katle

“…In this article, a modified method called the Elzaki decomposition method has been applied to analyze time-fractional Zakharov–Kuznetsov equations. …”
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