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

“…Similarly, for grain width, the determination coefficient and RMSE were 0.9505 and 0.0541; for grain weight, these values were 0.7635 and 3.8329, respectively. …”
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A semi‐automated observation approach to quantify mouse skeletal muscle differentiation using immunohistochemistry by Kenta Shimizu, Yamato Yoshida, Kenshin Iwasa, Yasuyuki Fujii, Ursula M. Jacob, Tilman Fritsch, Ali S. Abdelhameed, Vittorio Calabrese, Naomi Osakabe

“…Correlation between manual and semi‐automated analysis showed a coefficient of determination of 0.7132, indicating a significant reduction in analysis time by approximately 20 times. …”
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Machine Learning-Based Indirect Tip Force Sensing and Estimation for Robotic Uterine Manipulation System by Songphon Namkhun, Apiwat Boonkong, Piroon Kaewfoongrungsi, Kovit Khampitak, Daranee Hormdee

“…Three regression models&#x2014;Extreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM) networks, and Support Vector Regression (SVR)&#x2014;were evaluated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the Coefficient of Determination <inline-formula> <tex-math notation="LaTeX">$(\text {R}^{2})$ </tex-math></inline-formula>. …”
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Different Statistical Modeling to Predict Compressive Strength of High-Strength Concrete Modified with Palm Oil Fuel Ash by Soran Abdrahman Ahmad, Bilal Kamal Mohammed, Serwan Khwrshid Rafiq, Brwa Hama Saeed Hamah Ali, Kawa Omer Fqi

“…The performance of each proposed model was gauged using diverse statistical metrics like the coefficient of determination, mean absolute error, root mean square error, and scatter index to identify the most effective model. …”
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Improving the Packaging Process of a Textile Company with Lean Production, Time Study and REBA Analysis by Dilara Muhacır, Muhammed İdris Aktaş, Eren Özceylan

“…Firstly, the standard time of the operations was determined by the time study method. The time study method was carried out with the ProTimeEstimation program. …”
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Measurements of the quantum yield of silicon using Geiger-mode avalanching photodetectors by Harry Lewis, Mahsa Mahtab, Fabrice Retière, Austin De St. Croix, Kurtis Raymond, Maia Henriksson-Ward, Nicholas Morrison, Aileen Zhang, Andrea Capra, Ryan Underwood

“…The validity of the method is assessed using supplementary measurements of absolute photon detection efficiency, and an additional novel method of measuring average quantum yield using DC current–voltage measurements of SiPMs is presented and used for corroboration.…”
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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…Compared with the deep learning method, the recognition accuracy of SSIM is decreased by 5.96%, but it takes less resources and has high efficiency.…”
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Electromagnetic radiation shielding properties of copper containing activated carbon by O. V. Boiprav, H.A.E. Ayad, L. M. Lynkou

“…Regularities of electromagnetic radiation interaction with powdery activated carbon modified by the proposed method were researched. According to the results of this research it's established that electromagnetic radiation reflection coefficient in frequency range 8…12 GHz of shields made with powdery activated carbon decreases from –2 to –14 dB after modification of such material consist.…”
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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…Applied to futures market price difference prediction, experimental results demonstrate that ICS-SNN achieves reductions of 13.82% in MAE, 21.27% in MSE, and 15.21% in MAPE, while improving the coefficient of determination (R²) from 0.9790 to 0.9822, compared to the baseline SNN. …”
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Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation by Seung-Jun Kim, Moon-Kyeong Jang, Seok-Joon Hwang, Won Suk Lee, Ju-Seok Nam

“…The model’s accuracy was analyzed using the coefficient of determination (R²) and root mean square error (RMSE), and it was compared with the ASABE’s fuel consumption prediction model. …”
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In-Season Potato Nitrogen Prediction Using Multispectral Drone Data and Machine Learning by Ehsan Chatraei Azizabadi, Mohamed El-Shetehy, Xiaodong Cheng, Ali Youssef, Nasem Badreldin

“…The results indicate that RF outperformed SVM and GBR, achieving the highest coefficient of determination (R² = 0.571) and the lowest mean absolute error (MAE = 0.365%) using the RFE feature selection method. …”
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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

“…Under constraints on the data sample size, the proposed methodology allows the metal monitoring results to be applied with greater confidence than currently used methods at the same time as evaluating the efficiency of monitoring carried out by individual test teams or laboratories. …”
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Rapid Quantitative Detection of Dye Concentration in Pt/TiO₂ Photocatalytic System Based on RGB Sensing by Cuiyan Han, Ziao Wang, Jiahong Cui, Shuqi Liu, Liu Yang, Yang Fu, Baolin Zhu, Cheng Guo

“…The RGB-based PLS model achieved a coefficient of determination (R²) of 0.961 for the prediction set. …”
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Prediction of Earthquake Death Toll Based on Principal Component Analysis, Improved Whale Optimization Algorithm, and Extreme Gradient Boosting by Chenhui Wang, Xiaotao Zhang, Xiaoshan Wang, Guoping Chang

“…To address the challenges of small sample sizes, high dimensionality, and strong nonlinearity in earthquake fatality prediction, this paper proposes an integrated modeling approach (PCA-IWOA-XGBoost) combining Principal Component Analysis (PCA), the Improved Whale Optimization Algorithm (IWOA), and Extreme Gradient Boosting (XGBoost). The method first employs PCA to reduce the dimensionality of the influencing factor data, eliminating redundant information and improving modeling efficiency. …”
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Variogram modelling optimisation using genetic algorithm and machine learning linear regression: application for Sequential Gaussian Simulations mapping by André William Boroh, Alpha Baster Kenfack Fokem, Martin Luther Mfenjou, Firmin Dimitry Hamat, Fritz Mbounja Besseme

“…The study combines GA and machine learning to optimise variogram parameters, including range, sill, and nugget, by minimising the root mean square error (RMSE) and maximising the coefficient of determination (R2). The experimental variograms were computed and modelled using theoretical models, followed by optimisation via evolutionary algorithms. …”
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Modeling human capital strategies with an emphasis on organizational structure change by Shahriyar Emamdoust Haredasht, Musa Rezvani Chaman Zamin, Morteza Hazrati

“…The data collection tool is a questionnaire derived from the qualitative method. Data analysis is through SPSS, Lisrel, and PLS software. …”
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Preparation of Reed Straw-Based Panels Bonded by Soy-Based Adhesives: Optimization via Response Surface Methodology by Zhang Yingjie, Yong Wang, Wanli Lou, Dongbin Fan

“…It could provide an efficient method for massive production of reed straw particleboard.…”
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Photon-pair generation in a lossy waveguide by Shin Woncheol, Park Kyungdeuk, Kim Hyeongpin, Lee Dongjin, Kwon Kiwon, Shin Heedeuk

“…In this study, propagation loss effects were examined using theoretical and experimental methods. In theory, the performance of quantum light sources, such as brightness, heralding efficiency, and coincidence-to-accidental ratio, strongly depend on propagation loss. …”
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PENGARUH PERAN KEPEMIMPINAN, KOMUNIKASI DAN LINGKUNGAN KERJA TERHADAP KINERJA PEGAWAI PADA UPTD PUSKESMAS KECAMATAN KLARI KABUPATEN KARAWANG by Eneng Sukmayanti

“…This thesis is expected to contribute to the development of management science, especially as a contribution of scientific literature in human resources management, as reference material in scientific writing, as an information material, both for leaders and colleagues in District Health Office Karawang in the implementation of performance-based management, As a material consideration and input in making decisions and determine the direction of policy. The research is done by using quantitative method with descriptive and verification method, that is collecting, presenting, analyzing and doing hypothesis testing, and making conclusion and suggestion. …”
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Research on the Influence of Refractive Index Distribution of Ytterbium-doped Fiber Core on Stable Laser Output Power by QIN Yu, ZHANG Junyi, DING Song, TANG Jiang, ZHANG Zelin, CHEN Yali, XIAO Limin, SHEN Yichun

“…Through experimental investigation using a forward-pumped fiber oscillator, the optimal RIP slope was determined.【Results】The experimental results demonstrate that both the stable output power and slope efficiency initially increase and then decrease as the RIP slope increases. …”
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