Effects of Subsetting by Parent Materials on Prediction of Soil Organic Matter Content in a Hilly Area Using Vis-NIR Spectroscopy. by Shengxiang Xu, Xuezheng Shi, Meiyan Wang, Yongcun Zhao

“…The results showed that the models based on the global calibrations can only make approximate predictions for SOM content (RMSE (root mean squared error) = 4.23-4.69 g kg-1; R2 (coefficient of determination) = 0.80-0.84; RPD (ratio of standard deviation to RMSE) = 2.19-2.44; RPIQ (ratio of performance to inter-quartile distance) = 2.88-3.08). …”
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PROFIT AND PROFITABILITY OF THE COMMERCIAL COMPANIES DEALING WITH DAIRY FARMING by Agatha POPESCU, Alina MARCUTA, Cristina TINDECHE, Carmen ANGELESCU, Liviu MARCUTA

“…The paper analyzed net profit and profitability of a panel of six commercial companies (C1-C6) raising dairy cows and supplying milk on the capital market in the period 2009-2018, based on the data from Balance Sheets which were processed using fixed index, descriptive statistics, points method, regression modeling, correlations and determination coefficients. …”
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Utilizing Waste Cotton/Pigeon Pea Stalk Fibers Composites for Enhanced Sound Absorption and Insulation in Automotive Interiors by Ariharasudhan Subramanian, Senthil Kumar Selvaraj, Rajaram Mani, Preethibha Chandrasekaran, Shanthi Kunjuraman, Ramratan Guru, Sakthivel Santhanam

“…According to ASTM standards, the acoustics, thermal conductivity, and physical characteristics of the composite samples were tested to assess their qualities. The impedance tube method detailed in ASTM E1050 was used to determine the sound absorption coefficients (SAC) for acoustics. …”
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Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters by Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu

“…Compared to baseline models, YC2Model demonstrates superior performance on key performance indicators, including the highest coefficient of determination (R2) of 0.960717, and the lowest symmetric mean absolute percentage error of 0.015500, mean square error of 0.707211 × 10−4, root mean square error of 0.008410, and mean absolute error of 0.006519, proving its superior predictive accuracy. …”
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Creep Behavior and Quantitative Prediction of Marine Soft Clay Based on a Nonlinear Elasto-Plastic–Viscous Element Assembly Model by Yajun Liu, Ning Fang, Yang Zheng, Ke Wu, Rong Chen, Haijun Lu, Vu Quoc Vuong

“…The predicted–measured creep difference remained within 10%, and the surface-fit coefficient of determination reached R² = 0.97, enabling rapid estimation of deformation for the given stress and time conditions. …”
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Vibration fatigue comparative test and life prediction for titanium alloy connection structures by HE Shi, LIU Xiaochuan, LIU Haihan, LI Kaixiang, BAI Chunyu

“…In order to study the vibration fatigue performance of typical titanium alloy connection structures，the typical connection structures with different support shapes and rivet spacing are designed based on TC4 titanium alloy thin plates，a vibration fatigue test system is built，and the vibration fatigue performance of different connection structures under narrowband random loads is compared through experiments. The method for predicting the vibration fatigue life of connection structures based on random vibration <i>S</i>_rms-<i>N</i> curves is proposed by introducing stress severity coefficients and fatigue notch factor. …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…This study involves leveraging the efficiency and effectiveness of these algorithms in geotechnical engineering applications, offering a promising alternative to traditional oedometer testing methods. …”
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Installation for measuring of temporal and power spectrums of γβ (e+e0)-coincidences by V. T. Kupryashkin, . F. Mitrokhovich

“…It is described special installation for measuring of double and triple coincidences γ-quanta and β-particles with lowenergy electrons (including the eo-electrons of second electronic emission near-zero of energy) – (γ, β)(e, eо)- coincidences, containing two unthreshold detectors of electrons on the base micro channel plates and one detector γ-quanta (Ge(Li) or NaJ(Tl)), which is aimed for the determination of internal conversion coefficients on eo-electrons from radiation vacancy by proper measuring methods and also for the research on eo-electrons “shake off” effects upon β-decay. …”
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A Distributed Model Predictive Control Approach for Virtually Coupled Train Set with Adaptive Mechanism and Particle Swarm Optimization by Zhiyu He, Zhuopu Hou, Ning Xu, Dechao Liu, Min Zhou

“…Simulation experiments validate the effectiveness of the proposed method, demonstrating stable operation of VCTS under various initial conditions and the ability to handle uncertainties through the adaptive mechanism. …”
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MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In particular, a systematic threshold determination method is proposed to obtain the best performance for defect detection from FCDD models. …”
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The Influence on Modal Parameters of Thin Cylindrical Shell under Bolt Looseness Boundary by Hui Li, Mingwei Zhu, Zhuo Xu, Zhuo Wang, Bangchun Wen

“…Then, the following measurements and identification techniques are used to get precise frequency, damping, and shape results; for example, noncontact laser Doppler vibrometer and vibration shaker with excitation level being precisely controlled are used in the test system; “preexperiment” is adopted to determine the required tightening torque and verify fixed constraint boundary; the small-segment FFT processing technique is employed to accurately measure nature frequency and laser rotating scanning technique is used to get shape results with high efficiency. …”
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Research on loss differences and thermal optimisation of submerged cryogenic high‐speed permanent magnet motors by Baojun Ge, Yue Wang, Xiao Xu, Likun Wang, Shuo Huang, Zhifei Yang

“…In order to mitigate the impact of submerged cryogenic motor temperature on low‐temperature medium vapourisation, the response surface optimisation method is employed for designing the rotor cooling diversion orifice, and determining the optimal dimensions, structure, and input conditions for flow velocity. …”
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Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization by Wei Wang, Peng Chen, Guorui Ren, Jizhen Liu, Fang Fang, Zhe Chen

“…A novel methodology named zero-phase controlled auto-regressive integrated moving-average (CARIMA) filter is proposed to integrate HESS to smooth wind power fluctuations. First, a design method for zero-phase CARIMA filter is provided, and then used to determine grid-connected power for a wind storage system and size HESS. …”
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Prediction of black soldier fly larval sex and morphological traits using computer vision and deep learning by Sarah Nawoya, Quentin Geissmann, Henrik Karstoft, Kim Bjerge, Roseline Akol, Andrew Katumba, Cosmas Mwikirize, Grum Gebreyesus

“…In the analysis of larval weight prediction, a coefficient determination (R2) of up to 0.80 between measured and predicted weight was achieved using the morphometric weight prediction approach, along with an R2 of 0.71 through the CNN-regression approach. …”
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Spectral Characterization in Seaweed, Kappaphycus alvarezii, using AS7285x Spectroscopy Sensor Device by Hollanda Arief Kusuma, Tonny Suhendra, Aidil Fadli Ilhamdy, Carel Candigia Sahid Ilhami, Dwi Eny Djoko Setyono, Muhammad Zainuddin Lubis

“…Coefficient of determination (R²), percentage error (%), and percentage accuracy (%) were also used to assess model performance. …”
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The Influence of Fracture Defect Size on Treatment Outcomes in Distal Femur Fractures: A Comparative Study Between Lateral Locking Plate and Double Plate Fixation by Meng Li, Taoguang Wu, Zicheng Zhang, Xiaomeng Ren, Mengmeng Hu, Dong Zhang, Wei Zhang

“…We used diverse statistical methods for further analysis, such as t‐test, chi‐square test, Pearson correlation coefficients, and binary logistic regression analysis. …”
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Behavior Analysis of the New PSO-CGSA Algorithm in Solving the Combined Economic Emission Dispatch Using Non-parametric Tests by Milena Gajić, Sanela Arsić, Jordan Radosavljević, Miroljub Jevtić, Bojan Perović, Dardan Klimenta, Miloš Milovanović

“…This paper proposes a new metahaeuristic algorithm named particle swarm optimization and chaotic gravitational search algorithm (PSO-CGSA) for solving the combined economic and emission dispatch (CEED) problem. First, we determine the efficiency and effectiveness measures of the algorithm and compare it with other well-known algorithms. …”
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GRU-LSTM model based on the SSA for short-term traffic flow prediction by Changxi Ma, Xiaoyu Huang, Yongpeng Zhao, Tao Wang, Bo Du

“…Comprehensive experiments are conducted to validate the proposed method via traffic flow datasets, and the results are compared with those of baseline models. …”
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Quantifying Marine Carbon Dioxide Removal via Alkalinity Enhancement Across Circulation Regimes Using ECCO‐Darwin and 1D Models by Kay Suselj, Dustin Carroll, Daniel Whitt, Bridget Samuels, Dimitris Menemenlis, Hong Zhang, Nate Beatty, Anna Savage

“…To rapidly isolate and quantify the factors that determine dynamical efficiency, we develop a reduced complexity 1D model, rapid‐mCDR. …”
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Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques by Sahas V. Swamy, Bijay Mihir Kunar, Karra Ram Chandar, Mamdooh Alwetaishi, Shashikumar Krishnan, Sudhakar Reddy

“…The Random Forest model outperformed others as the best prediction model, achieving a coefficient of determination (R²) of 0.95, followed by SVR (R² = 0.87), k-NNR (R² = 0.82), and MLR (R² = 0.758). …”
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