On Removing Left Recursion from Totally-ordered HTN Domain Models by Simona Ondrčková, Roman Barták, Vladislav Kuboň

“…Hierarchical Task Networks (HTN) is a modeling formalism for hierarchical planning, where task decompositions are described using decomposition methods with specific constraints. …”
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Modeling and Simulation of Athlete’s Error Motion Recognition Based on Computer Vision by Luo Dai

“…We analyse and discuss the human error action recognition method based on the idea of template matching to analyse the key issues that affect the overall expression of the error action sequences, and then, we propose a motion energy model based on the direct motion energy decomposition of the video clips of human error actions in the 3 Deron action sequence space through the filter group. …”
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Degradation Assessment of the Rolling Bearing Performance based on AR-FCM by Zhou Jianmin, Guo Huijuan, Zhang Long

“…Then the empirical model decomposition and Hilbert envelope demodulation are used to verify the conclusions. …”
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A CONCEPTUAL MODEL OF QUALITY OF SERVICE MECHANISMS IN PACKET-SWITCHED NETWORKS by A. I. Khobnia, V. D. Liauchuk, O. M. Demidenko

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CALL MANAGEMENT MODEL IN TELECOMMUNICATIONS CONTROL SYSTEM BASED ON CORBA TECHNOLOGY by Valerii P. Mochalov, Eduard I. Yambulatov

“…We present a model to determine the numerical values of the call system management parameters of remote method and obtain their optimal values.…”
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Unsupervised Texture Segmentation Using Active Contour Model and Oscillating Information by Guodong Wang, Zhenkuan Pan, Qian Dong, Ximei Zhao, Zhimei Zhang, Jinming Duan

“…In order to segment texture images, we propose a new segmentation model that combines image decomposition model and active contour model. …”
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An Improved CEEMDAN-FE-TCN Model for Highway Traffic Flow Prediction by Heyao Gao, Hongfei Jia, Lili Yang

“…Firstly, an improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) method is applied to decompose the nonlinear time series of highway traffic flow to obtain the intrinsic mode function (IMF). …”
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Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…Compared with traditional machine learning techniques such as kernel extreme learning machine (KELM), extreme learning machine (ELM), support vector machine (SVM), and Softmax, this method significantly outperforms other models in terms of accuracy, recall, and F1 score.…”
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Research on bearing fault diagnosis based on ISA-VMD and IMSE by Feng Yan

“…Abstract Aiming at the problems of difficulty in extracting vibration signal features and low recognition accuracy of bearing fault, a new fault diagnosis method based on ISSA-VMD and IMSE was proposed. This method leverages an improved sparrow search algorithm (ISSA) to optimize the variational mode decomposition (VMD) method and employs an improved multiscale sample entropy (IMSE) for fault feature extraction. …”
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Analytical model for helical particle array assessment for EMI shielding applications by Ayoub Hamidi, Ahmad Cheldavi, Asghar Habibnejad Korayem, Mohammad Baharian

“…This study, besides presenting a new approach to designing a concrete composite that leverages the magnetoelectric properties of the particles, making it suitable for EMI shielding, also employs a theoretical method to analyze the composite. A circuit model of the array is introduced using a modal field decomposition, which justifies the impact of helix transmission modes and the transverse magnetic field component on the shielding properties of the array. …”
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Decent Work Systems: Management Model Analysis on the Example of Russian Railways by K. V. Gileva

“…Also, the research used the method of counter modeling, which represents the decomposition of the theoretical model into the results of the production conditions, financial and socio-economic activities of a particular enterprise. …”
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Modeling of Preload Bolted Flange Connection Structure for Loosening Analysis and Detection by Weicheng Sun, Zhenqun Guan, Yan Chen, Jiacheng Pan, Yan Zeng

“…The specified finite element model is proposed for preload bolted flange connection structure widely used in aerospace and rocket design. …”
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Towards scalable medical image compression using hybrid model analysis by Shunlei Li, Jiajie Lu, Yingbai Hu, Leonardo S. Mattos, Zheng Li

“…Specifically, our SDWTCNN achieves 4.3 dB better performance on the BGPD dataset and 3.8 dB on the BraTS dataset than the existing best method in terms of the PSNR metric.…”
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Model of the Impact of Area Payments on the Engagement and Remuneration of Production Factors in Agriculture by Adrian Sadłowski

“…This study aims to identify the mechanism through which area payments stimulate inputs of agriculture production factors and explore how subsidies granted in the form of area payments are transformed into remuneration for production factors. The research method used includes economic modeling and marginal analysis. …”
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An analytical model of condensed explosives under slow cook-off conditions by Ji Duan, Xiao Yang, Shaobo Fan, Yaxin Ji, Min Li, Xiaokun Zhi

“…Abstract An analytical model of condensed explosives under slow cook-off conditions was established based on the superposition principle and Sturm–Liouville method. …”
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Active Contour Models Based on Block Similarity for Multiple Objects Segmentation by Guoqi Liu, Jinjin Wei

“…For a sequence of image with multiple objects, a model for multiple objects extraction is constructed by combining sparse decomposition and ACGS; second, a block low-rank constraint is proposed to constrain the similarity of these evolving contours in every block; finally, segmentation results are obtained through iterative evolutions. …”
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Three-Stage Robust Model for Resilient DERs Planning in Distribution Networks by Zun Guo, Ming Zhou, Jianxiao Wang, Zhaoyuan Wu, Gengyin Li

“…Hence, a novel tri-level decomposition method is proposed to solve this three-stage nonlinear model by decomposing it into several mixed-integer linear problems. …”
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Accurate earthquake and mining tremor identification via a CEEMDAN-LSTM framework by Chao Wang, Xiufeng Zhang, Weiming Gao, Fangfang Wang, Jianqi Lu, Jianqi Lu, Zhaoyang Yan, Zhaoyang Yan

“…By identifying short-period surface waves in the given data and utilizing an improved complete ensemble empirical mode decomposition method with adaptive noise (CEEMDAN) in combination with long short-term memory (LSTM) networks, we conduct a discriminative analysis of seismic events in Liaoning, China, and Japan. …”
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Assessment of Multivariate Information Transmission in Space-Time-Frequency Domain: A Case Study for EEG Signals by Sixuan He, Yaru Li, Xinning Le, Xiaoyu Han, Jingfeng Lin, Xiaohang Peng, Min Li, Ruobing Yang, Dezhong Yao, Pedro A. Valdes-Sosa, Peng Ren

“…Therefore, in this study, we attempted to combine dynamic mode decomposition (DMD) and parallel communication model (PCM) together to realize it. …”
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Single-Ended Protection Scheme for Offshore Flexible Low-Frequency Transmission Lines Based on High-Frequency Transient Quantities by LI Jingzheng, DU Xiaotong, LI Meng

“…[Objective] To enhance the speed and reliability of protection for marine flexible low-frequency AC transmission lines and ensure the safe operation of offshore wind power flexible low-frequency AC transmission systems，high-frequency transient single-ended fast protection considering the boundary effects of busbars and modular multilevel matrix converters（M3Cs）is proposed. [Methods] By analyzing the equivalent models of busbars and M3Cs at both ends of the line，the boundaries at both ends were noted to have a significant attenuation effect on the high-frequency components of voltage traveling waves，and a clear high-frequency range was determined. …”
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