Deep Learning-Based Layout Analysis Method for Complex Layout Image Elements by Yunfei Zhong, Yumei Pu, Xiaoxuan Li, Wenxuan Zhou, Hongjian He, Yuyang Chen, Lang Zhong, Danfei Liu

“…The method reduces the number of model parameters and training time by replacing the backbone network. …”
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RESEARCH OF METHODS TO SUPPORT DATA MIGRATION BETWEEN RELATIONAL AND DOCUMENT DATA STORAGE MODELS by Mariia Peretiatko, Mariia Shirokopetleva, Natalya Lesna

“…The following methods were used: analysis and comparison of existing approaches to data migration, choice of strategy for further use in compiling the migration algorithm, mathematical modeling of the algorithm of heterogeneous model-inhomogeneous data migration, formalization of the data migration algorithm. …”
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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung, I Made Artha Agastya, Kusrini Kusrini

“…In addition to having the smallest error score, the ARIMA model (6,0,1) also has the smallest AIC score of the various models that can be used for predictions, which is 447.44 and the largest log likelihood value, which is -214.72. …”
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Study on modified Whitley model with different number and various methods of forming elite individuals by N. S. Krivoshey, V. G. Kobak

“…Introduction. A comparative analysis of the modified Whitley model solutions through different methods of forming elite individuals is presented. …”
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Operational Modal Analysis Based on Subspace Algorithm with an Improved Stabilization Diagram Method by Shiqiang Qin, Juntao Kang, Qiuping Wang

“…Specifically, first, a model order selection method based on singular entropy theory is proposed. …”
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Experimental and Numerical Method for the Analysis of Warm Titanium Sheet Stamping of an Automotive Component by Antonio Fiorentino, Elisabetta Ceretti, Claudio Giardini

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Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach by Akeem Olarewaju Yunus, Morufu Oyedunsi Olayiwola

“…Compared to conventional integer-order methods, this study presents an improved analysis of disease dynamics, including vaccine efficacy, by utilizing fractional-order models and the Laplace Adomian Decomposition methods. …”
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Surrogate Modeling for Building Design: Energy and Cost Prediction Compared to Simulation-Based Methods by Navid Shirzadi, Dominic Lau, Meli Stylianou

“…A parametric design configuration analysis further evaluates the models’ sensitivity to changes in building envelope features. …”
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Features of using methods and platforms for graphical modelling of business processes of enterprises in the context of digitalisation by V.О. Tkachuk, S.V. Obikhod, K.L. Pokhilchenko, A.O. Mikriukova, K.O. Demianchuk

“…For its part, the ARIS method is associated with graphical modeling, performance analysis, integration into other systems, document standardization, change management, and the ability to automate business tasks. …”
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Improved Efficiency in Generalized Poisson Hurdle Model Estimation Using Restricted and Shrinkage Methods by Hayder Hasan Rahmah Al-Gharrawi, Hossein Bevrani, Basim Shlaibah Msallam

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Structural optimization and analysis of surface acoustic wave biosensor based on numerical method by Zhaoming Zhou, Jinsong Tan, Jia Zhang, Mian Qin

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Analysis of the Calculation of a Plasma Sheath Using the Parallel SO-DGTD Method by Qian Yang, Bing Wei, Linqian Li, Debiao Ge

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A New Accident Analysis Method Based on Complex Network and Cascading Failure by Ziyan Luo, Keping Li, Xin Ma, Jin Zhou

“…A new accident causation model is proposed for accident analysis based on the complex network theory. …”
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Research of Vibration and Noise Analysis Method of High-speed Gear for Electric Vehicle by Ruixin Wang, Chao Yang, Jinfeng Li, Yu Gong, Hongqi Liu, Jingcai Zhang

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Problem Analysis of Asaoka Method on the Post-construction Settlement Prediction of Soft Ground by ZHOU Yuelei, LIU Zhonghan

“…In view of uncertainty of Asaoka method on the post-construction settlement prediction of soft ground,this paper transforms the measured data at constant time interval through BP neural network with good nonlinear fitting ability,establishes the regression analysis model at different starting points and different time intervals based on Asaoka method,predicts the post-construction settlement by the model and analyze the stability of the predicted value through mathematical methods,as well as comprehensively analyzes the stability of the prediction results with the measured data of a soft foundation treatment project.The analysis results show that:①BP neural network with good nonlinear fitting ability is effectively used in the transformation of the measured data of soft ground;②It is not advisable to judge the reliability of Asaoka method by the correlation coefficient;③The small error of β₁ can cause significant error to the prediction results;④The reliability of prediction results can be increased by expanding time interval.…”
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Predictive Model of Humidity in Greenhouses through Fuzzy Inference Systems Applying Optimization Methods by Sebastian-Camilo Vanegas-Ayala, Julio Barón-Velandia, Daniel-David Leal-Lara

“…The three-phase methodology applied made use of descriptive statistics techniques, correlation analysis, and prototyping paradigm for the iterative and incremental development of the predictive model, validated through error measurement. …”
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Equibiaxial Planar Tension Test Method and the Simulation Analysis for Hyperelastic EAP Membrane by Huaan Luo, Yinlong Zhu, Haifeng Zhao, Luqiang Ma, Jingjing Zhang

“…The equibiaxial planar tension test is an important method for determining the mechanical properties of hyperplastic membranes, and it is also critical to designing an effective equibiaxial tension test rig to meet experimental accuracy requirements. …”
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Risk Analysis of Digital Twin Project Operation Based on Improved FMEA Method by Longyu Li, Jianxin You, Tao Xu

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Analysis of Rebound Rate of Wet Shotcrete Based on Experiment and Discrete Element Method by Chang Su, Zhuang Wu, Xiaokui Zheng

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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression by Shelan Saied Ismaeel, Kurdistan M.Taher Omar, Bo Wang

“…Then, when  the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables model, results are more preferable than the independent response method. …”
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