Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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DEVELOPMENT OF THE CHARACTERISTICS OF THE INSTITUTIONAL ENVIRONMENT FOR THE MODELING OF SUSTAINABLE DEVELOPMENT OF REGIONS by N. A. Ivanov, I. V. Kozhushkina, M. S. Oborin, M. Yu. Sheresheva

“…The aim of the study is to develop the characteristics of the institutional environment to ensure the sustainable development of regions.Methods. Research methods comprise the system analysis, socio- economic modelling and forecasting. …”
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Adaptation of the DFD technology in the modeling of business systems in the environment of RDS by G. N. Kalyanov, B. V. Kupriyanov, O. V. Lukinova

“…Analysis methods can be divided into the following classes: syntactical, i.e. those that reveal violations of the syntax of the diagram representation language; semantic, revealing violations of the semantic representation of diagrams and their elements; methods of analyzing the quality of the business model, evaluated by the parameters of connectivity and cohesion.The implementation of the described methods and mechanisms is assumed as an additional module of simulation modeling of business processes as part of the RDS software complex, which is a tool for building research stands that provide the process of modeling, analysis and synthesis of control systems. …”
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A Stability indicating TLC-Densitometric Method for the Determination of Remdesivir in presence of Its Degradation Products by Mai H. Abd El-Fattah, Yasmine Ahmed Sharaf, Heba M. El-Sayed, Said A. Hassan

“…Linearity was observed over the concentration range of 0.2–1.1 µg/band for REM. Various method parameters—including mobile phase composition and detection wavelength—were systematically optimized to ensure high resolution, accuracy, and sensitivity. …”
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Seismic analysis and evaluation of battery cabinets for nuclear power plant based on finite element method by MA Wenjin, ZENG Qiquan, ZHANG Shuxing

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Dynamic Modulus Regression Models for Cold Recycled Asphalt Mixtures by João Meneses, Kamilla Vasconcelos, Kazuo Kuchiishi, Liedi Bernucci

“…The analysis of CRAM composition showed a strong relation between the compaction method and the stiffness of CRAMs.…”
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CIRC Type Cooperative Learning Model in Learning Arabic Rules by Mochamad Syaifudin, Muhammad Sofwan bin Harizan

“…Based on that problem, the right learning model is needed in its delivery. This article will discuss one of the models for learning Arabic rules, namely the CIRC (Cooperative Integrated Reading And Composition) learning model. …”
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Thermodynamic calculation-assisted design of 500 MPa high performance steel by machine learning by Weiyi Gong, Jinshan He, Fan Wang, Xitao Wang

“…The prediction results demonstrated the rationality of the composition design framework. Meanwhile, the method of combining the material database and ML proposed in this study can also be applied to the design of other low-alloy steels.…”
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A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

“…By combining these models with thermodynamic equilibrium models, the modified R² of offline predicted syngas flow rate exceeds 0.92, and those of syngas compositions reach 0.72–0.85. …”
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Optimal Design for an Extruder Head Runner Based on Response Surface Method and Simulated Annealing Algorithm by Haichao Zhou, Zhen Jiang, Wenchao Li, Guolin Wang, Yongjie Tu

“…A Placket–Burman design was used to select three key factors—angles A and B and outlet width D—from among eight runner structure parameters affecting the velocity variance. By using central composite design (CCD), the quadratic response surface model using the three key factors was established, and the influence law of a combination of the three key factors on SDV was obtained. …”
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A new modelling approach for the pyrolysis step in biomass gasification by Otto A. Ortiz, Laura M. Orozco, Luis A. Rios

“…This improved model allowed obtaining all the parameters that are needed for the further simulation of the gasification process: yield of main pyrolytic fractions, concentrations of gas molecules, element composition of char, element composition of tar and concentrations of molecules present in tar. …”
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Econometric analysis and modeling of the dynamics of the balance of payments’ development in Azerbaijan by N. S. Ayyubova

“…In accordance with the goal, the tasks of choosing the best composition of explanatory factors for the model were set, using the characteristics and criteria of correlation and regression analysis, econometric tests, calculating estimates of the nature and closeness of the relationship between the explanatory factors, dependent and independent factors, testing the stationarity of the series.Materials and methods. …”
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Petroelastic modeling of carbonate reservoirs in the view of different void types by Ya. S. Grigoryan, I. O. Bayuk

“…Using Berryman’s self-consistent method, we created a model of rock elastic properties, or a petroelastic model, the void space in which was represented by isometric pores and fractures. …”
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Multiscale Model Development for Electrical Properties of Thyroid and Parathyroid Tissues by M. Matella, K. Hunter, S. Balasubramanian, D. C. Walker

“…This study aims to explore this potential using computational models to simulate the impedance spectra of these tissues, and examine how they are influenced by specific differences in tissue composition and morphology. …”
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Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution by Shizhao Li, Zhichao Yan, Boxiang Ma, Shaoru Guo, Hongxia Song

“…The feature fusion module based on the attention mechanism is designed by giving the corresponding attention weights to the voxel diffusion features and the point features in order to avoid the ambiguity of points with different semantics having the same characteristics caused by the diffusion module, in addition to suppressing noise. Finally, to solve model training class bias caused by the uneven distribution of point cloud classes, the composite loss function of Lovász-Softmax and weighted cross-entropy is introduced to supervise the model training and improve its performance. …”
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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…The results indicated mutual offsetting among components such as mutations, trends, and periodicities in the runoff sequence, and the same runoff sequence could be characterized by multiple models, each representing distinct compositional forms of runoff components. …”
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Spin-flash drying characteristics and kinetic model of antarctic krill by TAN Jiayu, OUYANG Jie, MA Tiantian, SHEN Jia

“…The drying experiments were carried out at 120 ℃ to 180 ℃. <b>Methods:</b> Six common thin-layer drying models were selected to fit the experimental data. …”
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AOPxSVM: A Support Vector Machine for Identifying Antioxidant Peptides Using a Block Substitution Matrix and Amino Acid Composition, Transformation, and Distribution Embeddings by Rujun Li, Haotian Wang, Qiunan Yu, Jing Cai, Liangzhen Jiang, Ximei Luo, Quan Zou, Zhibin Lv

“…Traditional experimental methods for identifying antioxidant peptides are time consuming and costly, so effective machine learning models are increasingly being valued by researchers. …”
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Validity and reliability of anthropometric equations versus Dual X-ray Absorptiometry to estimate body composition in athletes with unilateral lower-limb amputation: A pilot study. by Laura Victoria Rivera-Amézquita, Ximena Saavedra-Bernal, Sofia Diaz-Moreno, Alejandra Tordecilla-Sanders, Diana Carolina Escorcia-Gomez, Diana Marcela Ramos-Caballero, Zdenek Svoboda

“…This study aimed to assess the concurrent validity and reliability of anthropometric equations for estimating body composition in this population, using Dual-energy X-ray Absorptiometry (DEXA) as the reference method.…”
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A novel information fusion method for the health monitoring of planetary gearbox based on veCMDE by Xianzhi Wang, Yang Zhang, Xijingyi Zhang, Chenyang Ma, Yongbo Li

“…This paper proposed a novel information fusion method called variational embedded composite multiscale diversity entropy (veCMDE). …”
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