Estimation of Three-Dimensional Ground Reaction Force and Center of Pressure During Walking Using a Machine-Learning-Based Markerless Motion Capture System by Ru Feng, Ukadike Christopher Ugbolue, Chen Yang, Hui Liu

“…Conclusions: It is possible to estimate GRF and COP from markerless motion capture data. This approach provides an alternative method for measuring kinetic parameters without force plates during gait analysis.…”
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Statistical model for assessing the reliability of non-destructive testing systems by solving inverse problems by A. E. Alexandrov, S. P. Borisov, L. V. Bunina, S. S. Bikovsky, I. V. Stepanova, A. P. Titov

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Simulation of duplicate tooling consumption at aircraft manufacturing enterprises by V. A. Vdovin, O. A. Afanasieva

“…To simulate the consumption of duplicate technological tooling (hereinafter referred to as TT), it is proposed to use the apparatus of multivariate regression analysis, which provides the main patterns formalization of consumption formation value in the form of linear regression dependencies. …”
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Forecasting Area, Production and Productivity of Vegetable Crops in Nepal using the Box-Jenkins ARIMA Model by Rabin Thapa, Shivahari Devkota, Sandip Subedi, Babak Jamshidi

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Developing Transferable Fourier Transform Mid-Infrared Spectroscopy Predictive Models for Buffalo Milk: A Spatio-Temporal Application Strategy Analysis Across Dairy Farms by Han Jiang, Peipei Wen, Yikai Fan, Yi Zhang, Chunfang Li, Chu Chu, Haitong Wang, Yue Zheng, Chendong Yang, Guie Jiang, Jianming Li, Junqing Ni, Shujun Zhang

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Analytical performance evaluation of intelligent quality management of blood gas analyzer by Hongting Tang, Yawen Xiao, Hong Luo, Jian Jiang, Hanqing Xu, Jun Yang, Lihua Yang, Xiang Yang

“…The average estimated total error (TE) in the intelligent QC met the specified acceptance criterion. …”
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Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar by Raouf Hassan, Mohammad Reza Kazemi

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Design Flood Calculation Model for Extra-Small Watersheds in Ungauged Basin by Yun Wang, Zengchuan Dong, Xinhua Zhu, Wenzhuo Wang, Yupeng Liu, Ronghao Chen, Yunjia He

“…The calculation results are analyzed in terms of reasonableness through the distribution pattern of the flood peak modulus under different frequencies of the constructed reservoirs, the relative error analysis, and the HEC-RAS model. Based on the one-day flood process of the adjacent basin, the calculation of deducing the design flood process using the hydrological comparison method was proposed. …”
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Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models by Rijvan Beg, R. K. Pateriya, Deepak Singh Tomar

“…In the evolving cyber threat landscape, one of the most visible and pernicious challenges is malware activity detection and analysis. Traditional detection and analysis methods face threats of data high-dimensionality, lack of strength against adversarial attacks, and non-efficient use of unlabeled data samples. …”
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A decision support system for herd health management for dairy farms by Jan Saro, Tomáš Šubrt, Helena Brožová, Robert Hlavatý, Jan Rydval, Jaromír Ducháček, Luděk Stádník

“…The system architecture combines a Flask backend with a React frontend and scalable cloud data storage and includes preprocessing, data integration, predictive modelling, and cost analysis. …”
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Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication by Guizhou Cao, Dawei Xia, Bokang Liu, Kai Meng, Zhenlong Wu, Yuan-Cheng Sun

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Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms by Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal

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A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma... by Daniel J. Glazar, Solmaz Sahebjam, Hsiang‐Husan M. Yu, Dung‐Tsa Chen, Menal Bhandari, Heiko Enderling

“…Sample size was also found to be negatively correlated with margins of error and landmark time. We explored the use of this sample size analysis as a clinical look‐up table for prospective clinical trial design and retrospective clinical data analysis. …”
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Accurate Radar-Based Heartbeat Measurement Using Higher Harmonic Components by Itsuki Iwata, Kimitaka Sumi, Yuji Tanaka, Takuya Sakamoto

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Investigating the Relationship Between Oral Reading Miscues and Comprehension in L2 Chinese by Sicheng Wang

“…Through analyzing the oral reading data, we identified 14 types of oral reading miscues, and they were categorized into four categories: orthographic, syntactic, semantic, and word processing miscues. …”
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LA-ICP-MS ANALYSIS OF TRACE ELEMENTS IN SILICATE MINERALS ON ICP-MS NEXION 300S MASS SPECTROMETER WITH NWR 213 ATTACHMENT FOR LASER ABLATION: METHODOLOGICAL ASPECTS by M. V. Chervyakovskaya, V. S. Chervyakovskiy, S. L. Votyakov

“…The MS sensitivity drift analysis has been performed through an 8-hour analytical session; a comparison has been made between the results obtained and the literature data; a satisfactory agreement of the results has been observed. …”
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Identification of the factors influencing the liquid sloshing wave height in a sloped bottom tank under horizontal excitation using PCA approach by Wenhao Ren, Zuowei Zhong

“…Through the analysis of these principal components, an accurate model of the maximum sloshing wave height is derived, achieving a close correlation with ANSYS simulation results, exhibiting a correlation coefficient of 0.98 and a mean absolute error of 2.5%. …”
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Development of a Bowtie Inversion Technique for Real‐Time Processing of the GOES‐16/‐17 SEISS MPS‐HI Electron Channels by A. Boudouridis, J.V. Rodriguez, B.T. Kress, B.K. Dichter, T.G. Onsager

“…The goal of the bowtie analysis is to calculate for each energy channel an energy/geometric factor pair applicable to a wide range of energy spectra and for which the geometric factor error is minimized. …”
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CPO-VMD Combined With Multiscale Permutation Entropy for Noise Reduction in GNSS Vertical Time Series in Mining Areas by Xu Yang, Xinxin Yao, Xinjian Fang, Xuexiang Yu, Yi Wu, Shicheng Xie

“…The results of simulation and example analysis show that compared with wavelet denoising (WD), empirical modal decomposition (EMD), ensemble empirical mode decomposition (EEMD), and improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), this method shows significant advantages in the evaluation indexes of noise reduction effect—Pearson’s correlation coefficient (R), the signal-to-noise ratio (SNR), and the root-mean-square error (RMSE)—and all the indexes are better than the comparative methods. …”
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Problems of power signal feature modeling for complex fluctuating load by WANG Xuewei, WU Di, YUAN Ruiming, MA Jian, LI Wenwen

“…Four types of problems in the feature modeling of power reference signal are proposed including feature acquisition, data preprocessing, characteristic analysis and extraction, and model use scheme. …”
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