Study on dynamic resilient modulus prediction model of subgrade fine-grained soil based on physical property parameters by Fang Guo, Wei Gu

“…Subsequently, using the data from this study and previous research, a correlation analysis was conducted on the factors affecting the resilient modulus, identifying the factors that contribute significantly to the resilient modulus. …”
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Distress detection in VR environment using Empatica E4 wristband and Bittium Faros 360 by Jelena Medarević, Nadica Miljković, Nadica Miljković, Kristina Stojmenova Pečečnik, Jaka Sodnik

“…While correlation coefficients were moderately positive between Faros and E4 data, indicating a linear relationship, small mean absolute error and root mean square error values suggested good agreement in measuring heart rate. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…The variables in the load data are processed and analyzed through the level set algorithm. …”
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Adaptive Neural Network Robust Control of FOG with Output Constraints by Shangbo Liu, Baowang Lian, Jiajun Ma, Xiaokun Ding, Haiyan Li

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An Inversion Model for Suspended Sediment Concentration Based on Hue Angle Optical Classification: A Case Study of the Coastal Waters in the Guangdong-Hong Kong-Macao Greater Bay A... by Junying Yang, Ruru Deng, Yiwei Ma, Jiayi Li, Yu Guo, Cong Lei

“…Model validation with in-situ data shows a coefficient of determination (R²) of 0.73, a root mean square error (RMSE) of 8.30, and a mean absolute percentage error (MAPE) of 42.00%. …”
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Calibration and optimization of discrete element method parameter of Pinus koraiensis seeds by Chun Wang, Zhizheng Hu, Xiangyu Liu, Hailin Kui, Yongchao Shao

“…The development of food processing equipment for Pinus koraiensis seeds has been limited by insufficient data on physical and contact properties. This study obtained dimensional and mechanical characteristics of the seeds through experiments and theoretical analysis. …”
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Nonlinear time domain and multi-scale frequency domain feature fusion for time series forecasting by Kejiang Xiao, Yefeng Li, Yaning Dong, Wenqi Yang, Binting Yao, Liang Chen

“…Real-world time series data are inherently characterized by nonlinear dynamics and multi-scale temporal features. …”
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Crowdsourced Indoor Positioning: Integrating 5G NR and WiFi Technologies by P. Ye, L. Chen

“…WiFi SSID and 5G NR SSB data collected along trajectories are used as features for clustering analysis. …”
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A New Hybrid Class of Distributions: Model Characteristics and Stress–Strength Reliability Studies by Mustapha Muhammad, Jinsen Xiao, Badamasi Abba, Isyaku Muhammad, Refka Ghodhbani

“…Furthermore, the HLW exhibits strong performance in SS-parameter analysis. Consequently, this hybrid family holds immense potential for modeling lifetime data and advancing reliability and survival analysis.…”
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Determination of Multicomponents in Rubi Fructus by Near-Infrared Spectroscopy Technique by Wenjun Du, Chunyan Wu, Hesong Yu, Qingran Kong, Yunjian Xu, Weidong Zhang

“…The NIR spectral data and the primary analysis method data were correlated through PLSR. …”
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Concurrent Validity and Reliability of a Free Smartphone Application for Evaluation of Jump Height by Amândio Dias, Paulo Pires, Leandro Santana, Paulo Marques, Mário C. Espada, Fernando Santos, Eduardo Jorge Da Silva, André Rebelo, Diogo S. Teixeira

“…Jump height was the criterion variable, with the same formula being used for both methods. Data analysis was performed by two experienced observers. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…The objective function of the optimization problem is defined as the sum of squared errors of the actual and predicted voltage data. The effectiveness of the proposed QUATRE-EMS algorithm is also checked through statistical analysis and the QUATRE-EMS variant is compared with other variants of DE optimization algorithms which are recently proposed in the state-of-the-art literature such as LSHADE, MadDE, CS-DE, LPalmDE, EDEV, jSO, SHADE, ISDE, and JADE. …”
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Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

“…In particular, the Chebyshev map-SSA-RF (CHSSA-RF) model achieves the most satisfactory prediction accuracy among all models, resulting in the highest coefficient of determination R2 and dynamic variance-weighted global performance indicator values (0.9756 and 0.0814) and the lowest values of root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) (6.4742, 4.0003, and 20.41%). …”
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Strength Prediction of Geopolymer Concrete With Wide-Ranged Binders and Properties Using Artificial Neural Network by Md Merajul Islam, Md Al-Mamun Provath, G. M. Sadiqul Islam, Md Tariqul Islam

“…Various metrics assess model performance (e.g., mean absolute error (MAE), root mean square error (RMSE), mean square error (MSE), R-squared (R2)), revealing the ANN model’s superiority over regression models. …”
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Assimilation of Fengyun-4A Atmospheric Motion Vectors and Its Impact on China Meteorological Administration—Beijing System Forecasts by Yanhui Xie, Shuting Zhang, Xin Sun, Min Chen, Jiancheng Shi, Yu Xia, Ruixia Liu

“…Assimilating FY-4A AMV data with a quality indicator (QI) above 80 and the optimal observation errors reduced the error of upper wind forecast in the CMA-BJ system. …”
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State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework by Bohan Shao, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, Jingying Xie

“…The network architecture performs initial feature extraction and filtering through convolutional layers, extracting potential key features from the raw input data. The multi-head attention mechanism is the core of this framework, enabling the model to perform weighted analysis of input features. …”
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Deep Learning Based 3D Visualization Health Condition Monitoring Method for Anchor Digging Machines by YANG Xueqi, GAO Xinqin, ZHENG Haiyang, YANG Jun

“…As a result, the proposed model has the smallest prediction error and higher prediction accuracy. The developed three-dimensional visualization health monitoring system of the anchor digging machine can display real-time environmental data and the operating status of the digging work. …”
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Design and Application of a Liquid Detection Device Based on Transmission Near-Infrared Spectroscopic Imaging by Jintao Liu, Li Luo, Xiangyang Yu, Yefan Cai, Weibin Hong

“…Spectral imaging is performed primarily using reflective devices, but for transparent objects, especially transparent liquids, a transmission-based device is required to obtain more effective spectral imaging data. For this purpose, a transmitted spectral imaging data acquisition device based on a miniature multispectral spectrometer was developed and demonstrated its capability in the analysis of transparent liquids. …”
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Prediction of Low-Temperature Rheological Properties of SBS Modified Asphalt by Qian Chen, Chaohui Wang, Liang Song

“…In this work, one hundred groups of survey data and test data were collected and analyzed. Fourteen vital raw material parameters, such as chemical composition indexes of matrix asphalt and technical indexes of SBS modifier, were selected as the input parameter. …”
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Calculation Model of the Axial Dispersion Distribution of Cylindrical-Warhead Fragments by Ning Jiang, Wen Bin Li, Wen Jin Yao, Da Cheng Gao

“…Theoretical calculations with the formula show good accuracy in predicting the flying angle of cylindrical-shell fragments, agreeing with experimental data. The proposed model meets the error requirements of engineering applications. …”
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