Research Results of Bioenergetics Factors Influence on Crop Production Yields Increase by A. P. Grishin, A. A. Grishin, V. A. Grishin

“…The relation of the order parameter (thermal exergy of solar radiation (SR)) and the variable control (transpiration) was determined. The values of the correlation coefficients of these two processes have a value close to one. …”
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Similarity Criterion Based on the Analytical Solution of Heat Conduction Equation in Frozen Soil by BO Yin, WANG Cong, FENG Yan-fang, ZHANG Bin, ZHANG Ying, GUO Xiao-gang, YAO Jin-song, WEI Lai, CHEN Rong, XU Chen

“…The similarity criteria derived from analytical solutions to heat conduction equations fully incorporate the effects of heat exchange boundary conditions and provide a fast and accurate method for determining scaling relationships when similarity coefficients for relevant thermophysical parameters are known. …”
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Bearing-Only Multi-Target Localization Incorporating Waveguide Characteristics for Low Detection Rate Scenarios in Shallow Water by Xiaohan Mei, Bo Zhang, Duo Zhai, Zhaohui Peng

“…The global target localization results are obtained using the proposed method, which incorporates confidence coefficients derived from the characteristic spectrum and geometric intersection information from the bearing lines. …”
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Tunnel face stability in strata rich in water with soft upper and hard lower layers by Tao Zhan, Ziwei Hu, Yan Kuang, Zhiliang Zhu, Kaiyi Liao

“…The parameter analysis reveals that this comprehensive critical support force exhibits complex variations under the influence of multiple parameters. At the same time, a method is proposed to determine the upper and lower bounds of the ultimate support force, based on the calculation results under no seepage and free seepage conditions at the excavation face. …”
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IMPLEMENTATION OF ANDROID-BASED INTERACTIVE MULTIMEDIA ON ATOM STRUCTURE MATERIALS ON LEARNING OUTCOMES AND STUDENT MOTIVATION by Sandy Yudha, Nurfajriani Nurfajriani, Ramlan Silaban

“…Motivation and learning outcomes of students have a positive relationship with a very strong strength with the obtained Pearson Correlation value of 0.941 and a coefficient of determination of 88.5%.…”
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Dynamic Loading of Bar Systems with a Finite Number of Degrees of Freedom by Sergei P. Ivanov, Oleg G. Ivanov, Anastasia S. Ivanova

“…The article presents a method for analyzing the dynamic stability of bar systems with one and two degrees of freedom. …”
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Modeling of Common Mode Interference of Secondary Side of Potential Transformer in VFTO Excitation by PANG Fubin, JI Jianfei, WU Xianqiang, ZHOU Mengxia, YAN Wei, XU Dong

“…The experimental results show that predictions made by the model are basically consistent with the measured results with a coefficient of determination (R2) is 0.85. The proposed model can describe the time-frequency characteristics of VFTO interference waveforms, providing a basis for the development of VFTO immunity standards and the operation and maintenance of power equipment.…”
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SBNNR: Small-Size Bat-Optimized KNN Regression by Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin, Jovana Kuljanin

“…The outcomes exhibit an enhancement of up to 5% in the coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> score) using the proposed method compared to the standard KNN method optimized through grid search.…”
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Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…Thus, the HBN method is effective for ionospheric data assimilation.…”
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Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments by Wenqin Wang, Chengda Lin, Haiyu Shui, Ke Zhang, Ruifang Zhai

“…Experiments conducted on 150 tomato fruits with 5–70% occlusion rates demonstrate that ASSM achieved coefficient of determination (R²) values of 0.9914 (length), 0.9880 (width) and 0.9349 (height) under high occlusion, reducing the root mean square error (RMSE) by 23.51–56.10% compared with traditional ellipsoid fitting. …”
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The effect of climatic variables on vegetation indices (Case study: Orange orchards in Hassan Abad, Darab County by ALI hashemi, Hojjatollah Yazdanpanah, Mehdi Momeni

“…Additionally, the variables of maximum temperature and minimum humidity have a significant negative effect on both the NDVI and EVI. To determine the significance of each independent variable in predicting the dependent variables, the artificial neural network method was employed. …”
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Digital Pathology for Analyzing Endomyocardial Biopsy Specimens by A. A. Slavinskiy, A. A. Verevkin, L. M. Chuprinenko, V. L. Drushevskaya, M. V. Kristesiashvili

“…We used the streptavidin-biotin method to determine the CD68 expression and computer-assisted morphometry of digital images to measure the area of pathological changes and CD68 expression.   …”
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Genetic Algorithms Applied to Optimize Neural Network Training in Reference Evapotranspiration Estimation by Eluã Ramos Coutinho, Jonni G.F. Madeira, Robson Mariano da Silva, Angel Ramon Sanchez Delgado, Alvaro L.G.A. Coutinho

“…The findings are assessed based on the coefficient of correlation (r), mean absolute error (MAE), root mean square error (RMSE), and mean percentage error (MPE), and are contrasted with the Hargreaves-Samani, Jensen-Haise, Linacre, Benavides & Lopez, and Hamon methods, along with the Multilayer Perceptron (MLP) neural network, which is conventionally trained and employs hyperparameter tuning techniques such as Grid Search (MLP-GRID) and Random Search (MLP-RD). …”
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Prediction of Temporal Liking from Temporal Dominance of Sensations by Using Reservoir Computing and Its Sensitivity Analysis by Hiroharu Natsume, Shogo Okamoto

“…The trained models exhibited prediction accuracy of the determination coefficient as high as 0.676–0.993, with the median being 0.951. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

“…Based on these correspondences and femoral morphological features, automatically segment the test femur sample into the shaft, neck, and head. Numerical methods are used to determine the femoral shaft axis (using PCA combined with least-squares cylinder fitting), the femoral head center and radius (least-squares sphere fitting), as well as the eccentricity and femur length. …”
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Denoising of acoustic emission signals from rock failure processes through ICEEMDAN combined with multiple criteria and wavelet transform by Tao Wang, Weiwei Ye, Liyuan Liu, Zhihui Zhao, Wei Huang

“…Compared to traditional wavelet denoising methods, the proposed method exhibits higher signal-to-noise ratio (SNR) improvement, as well as varying degrees of reduction in mean squared error (MSE) and total harmonic distortion (THD). …”
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UNCONTROLLED PHOTOMULTIPLIER CURRENT IN PHOTOEMISSION ANALYSIS by K. A. Viazava, K. N. Kasparov, O. G. Penyazkov

“…The effect of illumination on the value of modulation coefficient on temperature k(T) and wavelength k(λ) is shown. …”
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Low-Voltage Power Restoration Based on Fog Computing Load Forecasting and Data-Driven Wasserstein Distributionally Robust Optimization by Ruoxi Liu, Yifan Song, Yuan Gui, Hanqi Dai, Zhiyong Wang, Chengdong Yin, Qinglei Qin, Wenqin Yang, Yue Wang

“…This forecasting method embeds two weighted ultra-short-term load forecasting techniques of complementary characteristics and mines real-time load to learn incrementally, and thanks to this mechanism, the method can efficiently make predictions of low-voltage loads with trivial computational burden and data storage. …”
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Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts by Kennedy C. Onyelowe, Shadi Hanandeh, Nestor Ulloa, Ruth Barba-Vera, Arif Ali Baig Moghal, Ahmed M. Ebid, Krishna Prakash Arunachalam, Ateekh Ur Rehman

“…Sensitivity analyses using SHAP and Hoffman & Gardener’s methods identified the most influential parameters affecting each UHPC property, providing insights into the key factors driving concrete performance. …”
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ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions by Pavan Kumar S, Nirav Pravinbhai Bhatt

“…ThermOptCOBRA also facilitates efficient loop detection and removal from flux distributions, improving predictive accuracy across flux analysis methods. …”
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