Analysis of methods for accounting cargo vehicles in traffic flow of a regulated crossroad by V. V. Donchenko, A. N. Shumskiy

“…In order to establish the degree of influence of these parameters on the change in the main characteristics of the traffic flow, such as the average travel time and average speed, this study was carried out.Methods and materials. When performing the study, the methods of natural observation, statistical analysis and modelling were applied. …”
Get full text

MODERN ANALYSIS METHODS USE IN ORDER TO ESTABLISH THE GEOGRAPHIC ORIGIN OF FOOD PRODUCTS by L. A. Oganesyants, A. L. Panasyuk, E. I. Kuzmina, D. A. Sviridov

“…The advantages of an integrated research approach, which includes the creation of data array of various indicators values and its in-depth analysis using chemometric algorithms and mathematical modeling methods, are shown.…”
Get full text

Human Visceral Adipose Tissue Macrophages Are Not Adequately Defined by Standard Methods of Characterization by Alecia M. Blaszczak, Anahita Jalilvand, Joey Liu, Valerie P. Wright, Andrew Suzo, Bradley Needleman, Sabrena Noria, William Lafuse, Willa A. Hsueh, David Bradley

“…However, much less is known about the immune cell composition and how to best define AT macrophages in humans. …”
Get full text

High-performance slow-curing polyurea compositions by S. V. Romanov, O. A. Botvinova, E. A. Timakov, D. A. Rashchupkina, Yu. T. Panov

“…After thermostating and mixing Components A and B in predetermined ratios, the gelation time was measured to represent the curing time of the composition. The hardness of the material was determined by the Shore method according to GOST 24621-91. …”
Get full text

Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling by N. V. Mutovkin

“…Machine learning makes it possible to take into account many factors affecting the spectrum of the measured signal, extracting from them exactly those factors associated with a change in phase composition. In order to build the best model, machine learning approaches such as linear regression with different variants of regularisation, Bayesian regression, neural net, methods of supporting vectors, decision tree, random forest and gradient boosting are considered. …”
Get full text

A novel test method for quantifying surface tack of polypropylene compound surfaces

“…As the surface tack phenomenon is related to ageing and weathering, the material’s examination was also performed after various intervals of weathering. The developed method allows a fast assessment of the effect of polymer composition variations and different additive formulations on surface tack and gives identical rankings as the standardized haptic panel.…”
Get full text

Underutilized Feature Extraction Methods for Burn Severity Mapping: A Comprehensive Evaluation by Linh Nguyen Van, Giha Lee

“…The study contributes to the existing literature by providing a comprehensive comparison of FE methods, highlighting the potential benefits of underutilized techniques in BSM.…”
Get full text

Spatial Quality Control Method for Surface Temperature Observations Based on Multiple Elements by Xiaoling Ye, Xing Yang, Xiong Xiong, Shuai Yang, Yang Chen

“…The training sample dependence, model prediction accuracy and error detection rate of the PCA-RF model are superior to those of the Spatial Regression method. …”
Get full text

The development of quantitative determination method of organic acids in complex poly herbal extraction by I. L. Dyachok, O. R. Pinyashko

“…Materials and methods. Model complex poly herbal extraction of sedative action was chosen as a research object. …”
Get full text

A Correction Method for Hardening Artifacts in CT Images Based on Integral Invariance by Yuxin LIU, Jiaotong WEI, Xiaojie ZHAO, Ping CHEN, Jinxiao PAN

“…For imaging experiments with dual-material and multi-material models, compared with directly reconstructed CT images, the hardening artifacts in the reconstructed images were significantly reduced using this method, indicating its effectiveness.…”
Get full text

The Comparison of the Profile of Phenolic Compounds in Noni (<i>Morinda citrifolia</i> L.) Fruit by Different Drying Methods by Qianxin Li, Juan Chai, Shenghui Deng, Jucai Xu, Yanxian Feng, Ruili Yang, Wu Li

Get full text

Colloid-chemical properties of aqueous propolis dispersion prepared by the solvent diffusion method by M. Yu. Pletnev, T. S. Solovyeva, D. A. Blinov

Get full text

An effective method for the abnormal monitoring of stage performance based on visual sensor network by Fuquan Zhang, Gangyi Ding, Lin Xu, Bo Chen, Zuoyong Li

“…As the traditional monitoring method based on sparse description model to realize abnormal behavior of stage performance did not realize the manifold structure during the performance, the behavior characteristics are sparse, and the decomposition has higher volatility, the recognition accuracy of abnormal behavior is low. …”
Get full text

Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Statistical analysis shows that Bayesian Random Forest Method achieves a cloud particle phase state recognition accuracy of 96% under both rainy and non-rainy weather conditions. …”
Get full text

Comprehensive evaluation of icewine aroma quality based on ROAV and PCA-TOPSIS method by ZHANG Yang, QU Yilin, SUN Yongde, KONG Weifu, LI Hongjuan

Get full text

Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity by Sumin Heo, Sumin Heo, Andrew S. Butler, Marina Stamouli Simoncioni, Sam Moult, Maria Malamatari, Essam Kerwash, Susan Cole

Get full text

Extending VUML with Behavioral Modeling: A UML-Based Approach for Multi-View Object Specification by Chaimae Ouali-Alami, Abdelali El Bdouri, Younes Lakhrissi

“…We suggest modifying UML state machines to express view object behaviors and how they combine to form global multi-view object behaviors. Our method allows for the independent construction of view behaviors, followed by a methodical composition process. …”
Get full text

A Novel THz Differential Spectral Clustering Recognition Method Based on t-SNE by Tie-Jun Li, Chih-Cheng Chen, Jian-jun Liu, Gui-fang Shao, Christopher Chun Ki Chan

Get full text

A joint data and knowledge‐driven method for power system disturbance localisation by Zikang Li, Jiyang Tian, Hao Liu

“…By integrating the physical constraints of disturbance type‐topology information and localisation cost characteristics, a composite constraint loss function is proposed that embed physical knowledge into the data‐driven method. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. Both shallow and deep hollow targets hidden in the simulated concrete structure, real tunnel model, and road are identified through one radargram obtained by fusing different radargrams. …”
Get full text