IoT business guarantee method based on behavioral portrait by Longgang ZHAO, Hansheng LIU, Feng WANG, Shuang DI

“…IoT terminals have the characteristics of large user base, many manufacturers and numerous scenarios.It is difficult to unify the standard of poor quality and to locate the segment in the routine maintenance process.Aiming at the above phenomenon, a business guarantee method based on behavior portrait was proposed.Firstly, based on the distribution characteristics of key indicators, a fingerprint model of enterprise quality deficit was constructed, and the idea of mean shift clustering in statistical learning was used to realize the accurate construction of quality deficit index system.Then, to solve the problem that it was difficult to distinguish between the measurement terminal and the poor quality terminal, and it was difficult to identify the weak coverage terminal, a single user poor quality behavior portrait was constructed to effectively ensure the accuracy of the model.Finally, the pilot and analysis were carried out in the current network environment to provide reference for the IoT business guarantee.…”
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IoT business guarantee method based on behavioral portrait by Longgang ZHAO, Hansheng LIU, Feng WANG, Shuang DI

“…IoT terminals have the characteristics of large user base, many manufacturers and numerous scenarios.It is difficult to unify the standard of poor quality and to locate the segment in the routine maintenance process.Aiming at the above phenomenon, a business guarantee method based on behavior portrait was proposed.Firstly, based on the distribution characteristics of key indicators, a fingerprint model of enterprise quality deficit was constructed, and the idea of mean shift clustering in statistical learning was used to realize the accurate construction of quality deficit index system.Then, to solve the problem that it was difficult to distinguish between the measurement terminal and the poor quality terminal, and it was difficult to identify the weak coverage terminal, a single user poor quality behavior portrait was constructed to effectively ensure the accuracy of the model.Finally, the pilot and analysis were carried out in the current network environment to provide reference for the IoT business guarantee.…”
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Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method by Cheng Zhang, Yiwen Wang, Haozhe Cheng, Wanfeng Dou

“…The model analyzes and describes the spatial features of the viewshed through quantitative and qualitative methods. …”
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Approach to analysis of inter-regional similarity of investment activity support measures in legislation of regions (on the example of Krasnoyarsk region) by Valentina F. Lapo

“…There is no mention in the literature of the methodical questions of quantitative analysis and inter-regional comparisons. …”
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Technical analysis of petrochemical industries of Iran using a network data envelopment analysis model by Amir Reza Bazargan, Seyyed Esmaeil Najafi, Farhad Hosseinzadeh Lotfi, Mohammad Fallah

“…The data envelopment analysis method is commonly used to measure efficiency. …”
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Assessment of Methods for Determining Vehicle Emission Characteristics by Piotr LASKOWSKI, Edward KOZŁOWSKI, Magdalena ZIMAKOWSKA-LASKOWSKA, Piotr WIŚNIOWSKI

“…Since the relationship between pollutants and speed is nonlinear, the least squares method was applied to estimate model parameters for the different pollutants. …”
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Graph Methods for Describing the Trade Profile of a Region by A. N. Kislyakov

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Development and evaluation of accurate 3D human models using scan data: a comparison with SMPL and CLO models by Gyungin Jung, Minjoo Kang, Sungmin Kim

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System Approach to the Combined Use of Large Language Models and Classical Models in Foresight Tasks by Володимир Савастьянов, Михайло Столяр

“…The article highlights features offered by GPT-based models and compares the conclusions with classical methods of textual data analysis in classification tasks using the prediction methodology as an example. …”
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Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods by Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao

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Computational approaches on integrating vaccination and treatment strategies in the SIR model using Galerkin time discretization scheme by Attaullah, Khaled Mahdi, Mehmet Yavuz, Salah Boulaaras, Mohamed Haiour, Viet-Thanh Pham

“…In this manuscript, we carried out a thorough analysis of the general SIR model for epidemics. We broadened the model to include vaccination, treatment, and incidence rate. …”
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Combining treatment effects from mixed populations in meta-analysis: a review of methods by Lorna Wheaton, Sandro Gsteiger, Stephanie Hubbard, Sylwia Bujkiewicz

“…Abstract Background Meta-analysis is a useful method for combining evidence from multiple studies to detect treatment effects that could perhaps not be identified in a single study. …”
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Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

“…Traditional diagnostic methods have shortcomings in accuracy and robustness.MethodsTherefore, the study integrates variational autoencoders with long short-term memory network models, enhances them using dropout methods, and proposes a hybrid diagnostic analysis model that combines improved autoencoder algorithms and signal reconstruction.ResultsThe experiment outcomes indicated that under the slow degradation mode of the bearing, the precision, recall, F1 score, and overall accuracy of the improved autoencoder model were 0.931, 0.933, 0.920, and 0.939, respectively, which were better than the pre-modified model. …”
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Finite predicate-driven logic networks method for enhanced education data analysis by Zoia Dudar, Andrii Kozyriev

“…The research used the methods of mathematical modeling, complex logical analysis, and method for constructing logic networks. …”
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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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Developing a model for clinical teaching with emotional intelligence by Athar Omid, Fariba Haghani, Nahid Toufan

“…One month after, a sample of workshop participants (N = 18) was selected through purposive sampling and their experiences of clinical teaching with emotional intelligence were described using focus groups (n = 3) and deductive content analysis. Results A model consisting of four themes: preparation and start communication before round, sustained communication during rounds, promotion after the round, and managing social interactions throughout the presence in the ward were presented for describing clinical teachers’ experiences. …”
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Numerical simulations and experimental analysis of high-speed turnout rails wear models by Jincheng Li, Min Hu, Hao Wu, Hao Zhong

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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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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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Analysis of SI models with multiple interacting populations using subpopulations by Evelyn K. Thomas, Katharine F. Gurski, Kathleen A. Hoffman

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