ATHEMATICAL MODEL FOR THE OPTIMISATION OF HIERARCHICAL MULTI-LEVEL PRODUCTION SYSTEMS by Yu. V. Minaeva

“…Objectives The aim of the study is to develop a mathematical model for the complex solution of various problems in designing and reconstructing the technological system of a production workshop of a machine-building enterprise.Methods Complex system theory and an aggregative decomposition approach are used as the methodological basis for modelling complex hierarchical productions, making it possible to represent a complex system in the form of a set of interconnected subsystems.Results A mathematical model designed for a complex solution of problems associated with the formation of an optimal production programme and selection ofequipment was developed. …”
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Micro-firms’ productivity growth in Poland before and during COVID-19: Do industry and region matter? by Emilia Gosińska, Mariusz Górajski, Magdalena Ulrichs

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Sparse Multichannel Decomposition of Electrodermal Activity With Physiological Priors by Samiul Alam, Md. Rafiul Amin, Rose T. Faghih

“…Finally, we develop a block coordinate descent method for SC signal decomposition by employing a generalized cross-validation sparse recovery approach while including physiological priors. …”
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Preparation and performance of hydroxyapatite-graphene oxide composite microspheres by YUAN Qiuhua, SHI Xin, WU Wenshan, DAI Xiaoyi, ZHONG Junxi, YANG Yuan, JIAN Youliang, LI Ruilong, WANG Tao

“…Firstly, spherical calcium carbonate-graphene oxide (CaCO3-GO) composites were synthesized by hard template method. …”
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Dynamics-Guided Support Vector Machines for Response Analysis of Steel Frame Under Sine Wave Excitation by Yao Wang, Huaiman Li

“…Furthermore, a solution algorithm combining DG-SVM with static condensation and mode decomposition methods is developed to enhance computational efficiency for the analysis of multi-degree-of-freedom systems. …”
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The Uniqueness of STAD and CIRC Models in Poetry Learning (Keunikan Model STAD dan CIRC dalam Pembelajaran Puisi) by Diyan Permata Yanda, Dina Ramadhanti

“…<p><em>The purpose of this study is to describe the uniqueness of the Student Team Achievement Division (STAD) and Cooperative Integrated Reading and Composition (CIRC) models in terms of poetry learning. …”
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TensorTrack: Tensor Decomposition for Video Object Tracking by Yuntao Gu, Pengfei Zhao, Lan Cheng, Yuanjun Guo, Haikuan Wang, Wenjun Ding, Yu Liu

“…To address this issue, this paper proposes an innovative method that utilizes tensor decomposition, an underexplored concept in object-tracking research. …”
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Interaction between Viscoelastic Composite Beams and Vehicles by a Decoupled Method and Its Application in Engineering by Xia Zhang, Enli Chen, Wei Jiang, Guoqing Wang, Ali Wu

“…To theoretically verify whether the separate construction (SR) algorithm is consistent with the direct coupling (DC) algorithm, two dynamic system models of a Bernoulli–Euler composite beam under a moving vehicle are established, which correspond to the two algorithms. …”
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Experimental Study on the Force Mechanism of Internal Composite Connectors in Steel–Concrete Composite Sections of Bridge Towers by Yunwei Du, Zhenqing Yu, Yuyang Chen, Niujing Ma, Ronghui Wang

“…Current research on the stress mechanisms of composite connectors within steel–concrete structures of bridge towers is sparse, and there is a lack of established experimental methods and finite element modeling techniques for studying these mechanisms. …”
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Behaviour Analysis of Modeling and Model Evaluating Methods in System Identification for a Multiprocess Station by A. Annie Steffy Beula, Geno Peter, Albert Alexander Stonier, K. Ezhil Vignesh, Vivekananda Ganji

“…Order of the model is found from Hankel matrix representation methods such as singular value decomposition and determinant method. …”
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Bearing Fault Diagnosis under Transient Conditions: Using Variational Mode Decomposition and the Symmetrized Dot Pattern-Based Convolutional Neural Network Model by Jide Jia, Jianmin Mei, Chuang Sun, Fengjuan Yang

“…An effective bearing fault diagnosis method for gearbox applications under variable operating conditions is proposed, utilizing variational mode decomposition (VMD) for feature extraction, symmetrized dot pattern (SDP) for visual representation, and convolutional neural network (CNN) for deep feature extraction and classification. …”
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Estimation of Forest Aboveground Biomass Using Multitemporal Quad-Polarimetric PALSAR-2 SAR Data by Model-Free Decomposition Approach in Planted Forest by Cong Peng, Chao Fang, Jiangping Long, Tingchen Zhang, Huanna Zheng, Zilin Ye

“…In this study, to overcome the disadvantages of common polarization decomposition methods, model-free decomposition methods were first applied to map forest AGB by extracting decomposition features from L-band quad-polarimetric PALSAR-2 images. …”
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DAMAGE DETECTION IN COMPOSITE CYLINDRICAL PANEL BASED ON FORCED VIBRATION ANALYSIS by Piotr PAJĄK, Marek BARSKI

“…The analysis is performed with use of finite element method. The internal defect is modeled by the reduction of the composite material stiffness and density in arbitrary chosen elements. …”
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Tensor‐structured decomposition improves systems serology analysis by Zhixin Cyrillus Tan, Madeleine C Murphy, Hakan S Alpay, Scott D Taylor, Aaron S Meyer

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Decomposition of Fuzzy Soft Sets with Finite Value Spaces by Feng Feng, Hamido Fujita, Young Bae Jun, Madad Khan

“…The notion of fuzzy soft sets is a hybrid soft computing model that integrates both gradualness and parameterization methods in harmony to deal with uncertainty. …”
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Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction by Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang

“…This innovative approach first performs seasonal decomposition of the original data using the STL method, then applies the VMD method for double decomposition of the residual components, reconstructs the data based on sample entropy, and finally predicts agricultural commodity market prices using the BiLSTM network model optimized by the PSO algorithm. …”
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Combination of the Improved Diffraction Nonlocal Boundary Condition and Three-Dimensional Wide-Angle Parabolic Equation Decomposition Model for Predicting Radio Wave Propagation by Ruidong Wang, Guizhen Lu, Rongshu Zhang, Weizhang Xu

“…Numeric computation and measurement results demonstrate the computational accuracy and speed of the WA-3DPE decomposition model with the improved diffraction nonlocal BC.…”
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Titanium dioxide - activated carbon composite for photoelectrochemical degradation of phenol by L. H. Q. Anh, Uyen P. N. Tran, P. V. G. Nghi, H. T. Le, N. T. B. Khuyen, T. D. Hai

“…In this study, titanium dioxide (TiO2) and titanium dioxide – activated carbon composite (TiO2–AC) were prepared by sol-gel method for photoelectrochemical (PEC) applications. …”
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Research on a hybrid deep learning model based on two-stage decomposition and an improved whale optimization algorithm for air quality index prediction by Hangyu Zhou, Yongquan Yan

“…A hybrid deep learning model is developed for AQI prediction, incorporating two-stage decomposition and hyperparameter optimization. …”
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Calculation Model of Shear Capacity of Multiple Composite Core Column Joints Based on Softened Tension-Compression Bar Model by Xu Wentao, Yang Chengyu

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