Integration of carbon dioxide sensor with GNSS receiver for dynamic air quality monitoring applications by Lin Yola, Garrin Alif Nanditho, Kaito Kobayashi, Dinesh Manandhar

“…The two systems generated the CSV database (CO2 and vehicle speed); however, IS generated the automatic synchronized and error-free data output. The statistical regression analysis of CSV data (CO2 and vehicle speed) between the NIS and IS reported significant results, which means both are reliable. …”
Get full text

Downscaling Correction and Hydrological Applicability of the Three Latest High-Resolution Satellite Precipitation Products (GPM, GSMAP, and MSWEP) in the Pingtang Catchment, China by Guikai Sun, Yixiong Wei, Guoshuai Wang, Rui Shi, Haojian Chen, Chongxun Mo

“…Several statistical indices were used to perform error evaluation and precipitation capture ability analysis on SPPs and DC-SPPs, and the Grid-Xin’anjiang (the Grid-XAJ) model was used to compare their hydrological utility. …”
Get full text

Prediction of Vehicle Interior Wind Noise Based on Shape Features Using the WOA-Xception Model by Yan Ma, Hongwei Yi, Long Ma, Yuwei Deng, Jifeng Wang, Yudong Wu, Yuming Peng

“…The prediction results on the test set demonstrate that the WOA-Xception model attains mean absolute percentage error (MAPE) values of 9.78% and 9.46% and root mean square error (RMSE) values of 3.73 and 4.06, respectively, for sedan and Sports Utility Vehicle (SUV) samples, with prediction trends that align with the measured data. …”
Get full text

The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

“…The mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE) were applied to evaluate the effects of model fitting predicting accuracy.…”
Get full text

Forecasting the development of poultry farming based on time series by Anatolii Kulyk, Katerina Fokina-Mezentseva, Alla Saiun, Daryna Saiun

“…Analysis of historical data allowed us to determine the optimal parameters of the models and obtain forecast values for time periods (months). …”
Get full text

Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

“…Evaluation metrics (Mean Squared Error (MSE), Mean Absolute Error (MAE), Symmetric Mean Absolute Percentage Error (SMAPE), and Coefficient of Determination (R²)) indicated similar performance across models, with ARIMA–LSTM yielding the best results. …”
Get full text

Rapid Detection of Key Phenotypic Parameters in Wheat Grains Using Linear Array Camera by Wenjing Zhu, Kaiwen Duan, Xiao Li, Kai Yu, Changfeng Shao

“…The phenotype analysis of wheat using the image processing techniques presented in this study shows strong consistency with manual detection methods, providing valuable quantitative data to assist in breeding selection and accelerate genetic improvement practices.…”
Get full text

Biomechanics & Sports Medicine by Machulik C, Hamacher D, Lindlein K, 3, Zech A, Hollander K, 4

“…Bland-Altman analysis showed high random errors and increased systematic and random errors for step length and cadence atfast running velocities. …”
Get full text

A Bayesian model for predicting monthly fire frequency in Kenya. by Levi Orero, Evans Otieno Omondi, Bernard Oguna Omolo

“…This study presents a comprehensive analysis of historical fire and climatic data to estimate the monthly frequency of vegetation fires in Kenya. …”
Get full text

Rain Attenuation Study at Ku-Band over Earth-Space Path in South Korea by Sujan Shrestha, Dong-You Choi

“…Comparison with the measured data demonstrates that the proposed technique provides sufficiently accurate estimation for Ku-band signal attenuation in site specifically whose effectiveness is performed through the statistical analysis against the established rain attenuation models. …”
Get full text

Verification of Phase Shifter Measurements of a Reflective Array Antenna by M. D. Parnes

“…To develop a method for evaluating errors in measurements of the parameters of phase shifters incorporated in an antenna array by comparing theoretical and experimental data.Materials and methods.  …”
Get full text

Spectral Estimation of Chlorophyll for Non-Invasive Assessment in Apple Orchards by Andrea Szabó, János Tamás, Attila Nagy

“…The coefficient of determination (R²) was used to compare the strength of the regression models, and the Root Mean Square Error (RMSE), Normalized Root Mean Square Error (NRMSE), Nash–Sutcliffe efficiency (NSE), Mean Absolute Error (MAE) and Mean Bias Error (MBE) functions were used to measure the accuracy of the estimator models. …”
Get full text

A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Quantitative evaluation results using various analytical methodologies (multiple regression analysis, Kruskal–Wallis test, random forest feature importance, principal component analysis including K-means clustering, response surface methodology (RSM), preference ranking technique based on similarity to the ideal solution (TOPSIS), and Pareto optimization) revealed that the basic shooting pattern ‘type’ has a significant and statistically significant influence on all major SfM performance metrics (reprojection error, final point count, computation time, reconstruction completeness; Kruskal–Wallis <i>p</i> < 0.001). …”
Get full text

VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…PLSR analysis of raw data yielded a maximum R² value of 0.98 for red pepper pH, while the lowest R² (0.58) was observed for total phenols in yellow peppers. …”
Get full text

State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine by Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu

“…While electrochemical impedance spectroscopy (EIS) effectively characterizes LIBs degradation patterns, the high dimensionality of EIS data poses challenges for an efficient analysis. …”
Get full text

Construction and Application of Grid-Xin'anjiang Model Within Daheba Watershed in Shaanxi Province by HE Chengmin, GU Zhao

“…Taking Daheba watershed,the tributary of Hanjiang River in Shaanxi Province as the study area,this paper constructs the Grid-Xin'anjiang model through DEM (Digital Elevation Model) data analysis and geomorphic feature parameter extraction,applies it to simulate and analyze the runoff process of the watershed and the dynamic changes of spatial distribution of free water content,and carries out the flood simulation verification by the measured data of 7 flood in the special hydrological station of Daheba from 2011 to 2014 to verify the reliability of the constructed Grid-Xin'anjiang model.The results show that the simulation error of peak discharge can be controlled below 20% basically,the error of peak time is within 3 h,and the uncertainty coefficient is above 0.78,which indicating that the Grid-Xin'anjiang model can satisfactorily simulate the flood processes within Daheba watershed of Shaanxi Province.At the same time,taking the rainfall runoff process on July 16,2013 and July 25,2013 as an example,it analyzes the dynamic change of spatial distribution of free water content.As a result,combined with the physical meaning of free water content,the development of rainfall process and the evaluation of flood process precision at the outlet of the watershed,it can be concluded that the Grid-Xin'anjiang model can simulate the dynamic distribution of free water content accurately.…”
Get full text

An end-to-end pipeline for automated scoliosis diagnosis with standardized clinical reporting using SNOMED CT by Abdullah Shahid, Jeonghoon Kim, Shi Sub Byon, SungHyuk Hong, Inyong Lee, Byoung-Dai Lee

“…We have designed our solution to perform large-scale data analysis and inter-hospital comparisons, which can positively impact the healthcare of spinal scoliosis patients.…”
Get full text

A Hybrid GARCH and Deep Learning Method for Volatility Prediction by Hailabe T. Araya, Jane Aduda, Tesfahun Berhane

“…These findings offer valuable insights for financial data analysis and risk management strategies.…”
Get full text

Preventing Inadvertent Mixing During Chemical Unloading Operations by Patricia Kukuczka, Marguerita El Boustani, Claire Villemur, Francois Masse, Jean-Marc Lacome, Emma Becu, Christophe Bolvin

“…This study presents an analysis of historical accident data (ARIA, eMARS, FRED) and proposes a risk management framework based on the bow-tie approach. …”
Get full text

Feather teaching and training based on Kinect sensor and gesture recognition technology by Luoluo Zhang, Pin Zhong

“…The results showed that the recognition algorithm proposed in this study better achieved joint angle conversion, with estimation error less than observation error. The matching accuracy in badminton standard motion analysis exceeded 90 %, and the error in slapping action was less than 0.01, which had good robustness. …”
Get full text