Study of Prospects of Two-Phase Gravity Thermosiphons Used in Waste Heat Boilers of Cogeneration Units by Dolganov Yu.A., Yepifanov А.A., Patsurkovskyi P.A., Sorokina T.N., Lychko B.M.

“…The graphical dependence of the temperature difference in the thermosiphon cavity on the heat flux density is presented. The root-mean-square error of experimental results was calculated, being up to 5.7%. …”
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Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym by Ray Wang, Tahiya Chowdhury, Alejandra C. Ortiz

“…However, identifying an appropriate segmentation approach for geoscience research remains challenging, often relying on trial-and-error experimentation for data preparation, model selection, and validation. …”
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Deep Learning-Based Data-Assisted Channel Estimation and Detection by Hamidreza Hashempoor, Wan Choi

“…When compared to other conventional methods, experiments and simulations show that the proposed data-aided channel estimator significantly lowers the mean-squared-error (MSE) of the estimation and thus improves data detection performance. …”
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Comparative analysis of image mosaicing techniques for aerial agriculture field imaging by Maria John, S. Santhanalakshmi, J Amudha, Jianfeng Zhou

“…The research analyzes four performance metrics, which consist of the Structural Similarity Index (SSIM) and Root Mean Square (RMS) error, together with Standard Deviation (SD) and CPU computational time. …”
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Phase-Field Simulation of the Creep Mechanism in the AZ31 Magnesium Alloy Under Discontinuous Dynamic Recrystallization Dominance by Alireza Rezvani, Ramin Ebrahimi, Ebad Bagherpour

“…The model accurately predicts recrystallization kinetics and microstructural evolution, exhibiting a strong correlation with experimental results, with an error of approximately 5%. This research provides a robust and efficient approach for predicting creep behavior in high-temperature applications, vital for optimizing material selection and predicting component lifespan in industries. …”
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Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency by X. Little Flower, S. Poonguzhali

“…Evaluation metrics such as accuracy, mean squared error (MSE), kappa coefficient, and Fisher’s score (F-score) demonstrated the robustness and reliability of the proposed methods. …”
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Calibration and Performance Evaluation of Cost-Effective Capacitive Moisture Sensor in Slope Model Experiments by Muhammad Nurjati Hidayat, Hemanta Hazarika, Haruichi Kanaya

“…The results indicate that a polynomial function is the best fit, with a coefficient of determination (R²) ranging from 0.918 to 0.983 and a root mean square error (RMSE) ranging from 1.171 to 2.488. The calibration equation was validated through slope model experiments, with soil samples taken from the models after the experiment finished. …”
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Simulation Study and Development of Semiparametric Multiresponse Multigroup Truncated Spline Regression for Rice Pest Control by Laila Nur Azizah, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani

“…This multi-response regression model proves more optimal when error variance and multicollinearity levels are kept low to moderate.…”
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Integration of UAV-derived digital elevation model and GNSS for orthometric height determination in urban mapping by Ibrahim O. RAUFU, Herbert TATA, Emmanuel B. ADEWOLE

“…The UAV-derived orthometric heights achieved a Root Mean Square Error (RMSE) of 0.514 m, while the GNSS-derived orthometric heights yielded a slightly lower RMSE of 0.470 m. …”
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Prescribed Performance Bounded-H_∞ Control for Flexible-Joint Manipulators Without Initial Condition Restriction by Ye Zhang, Ruibo Sun, Jie Shang

“…Furthermore, the improved tangent-type BLF enables the tracking error to rapidly converge to a small neighborhood of zero. …”
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Research on the Automatic Recognition Method of Micro-nano Regeneration Rubber Filler Dispersion in Scanning Electron Microscope Images by Yunhui Xu, Min Deng, Hui Tu, Zaheer ul haq, Haifeng Xu, Zhenghua Xin

“…However, current methods for assessing dispersion rely on subjective visual estimation of electron microscope images, which lack quantitative precision and are prone to human error, especially given the complex distribution of micro-nano particles. …”
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An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing by Youlong Lyu, Qingpeng Qiu, Ying Chu, Jie Zhang

“…Experiments on the PHM 2012 and XJTU-SY datasets demonstrate that this model achieves the lowest prediction error and highest accuracy compared to existing methods, highlighting the value of combining handcrafted and deep learning approaches for robust RUL prediction in aerospace applications.…”
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Three Hour Ahead PV Power Forecasting with Bidirectional Recurrent Networks: Insights into Monthly Variability by Ferial El Robrini, Badia Amrouche

“…Notably, Bi-GRU consistently outperforms the other models, displaying lower error rates and higher accuracy across diverse months. …”
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State of Health Prediction of Pure Electric Vehicle Batteries Based on Patch Wavelet Transformer by Min Wei, Siquan Yuan, Lin Chen, Yuhang Liu, Jie Hu

“…To tackle the challenge of limited capacity label availability, a fuzzy Kalman filtering model based on ampere-hour integration is designed, reducing the relative error in SOH estimation to 0.906% and significantly improving label accuracy. …”
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A 5G smartphone-oriented dual-band dual-antenna system designed via characteristic mode theory and surface current analysis by Zhaozhi Gu, Wenhan Li, Shibao Li

“…The proposed approach enables direct translation of current distributions into physical antenna parameters, effectively eliminating empirical trial-and-error processes while establishing a reproducible design paradigm for future antenna development.…”
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Typical Fault Estimation and Dynamic Analysis of a Leader-Follower Unmanned Aerial Vehicle Formation by Jian Shen, Qingyu Zhu, Xiaoguang Wang, Pengyun Chen

“…The estimator and the system error have been created. Moreover, the typical faults, including the components failure, airframe damage, communication failure, formation collision, and environmental impact, are also discussed for the UAV system. …”
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Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques by M. Maboudi, K. Mawas, M. Gerke

“…In all cases, the Root Mean Square Error (RMSE) is less than 1mm which is acceptable for the majority of applications within the realm of digital construction. …”
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Reliability assessment of two production lines using joint progressively type-II censored XLindley samples by I. Elbatal, Ahmed Elshahhat, H. E. Semary, Mazen Nassar

“…The maximum likelihood method is applied to obtain point estimates for the unknown parameters and reliability functions, while Bayesian analysis is performed under the squared error loss function, employing the Markov Chain Monte Carlo technique to generate samples from the posterior distribution. …”
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Turbidity and suspended sediment relationship based on sediment composition and particle size distribution by Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim

“…These equations were applied to field data from the area upstream of Soyanggang Dam in South Korea, yielding error rates of 1–18%. This study highlights the importance of incorporating sediment fraction variability into turbidity–SS models, which significantly improves their accuracy and reliability. …”
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Proposal of a parameter identification method for singledegree-of-freedom nonlinear systems using neural networks by Daiki TAJIRI, Kosuke NAKAJIMA, Masaki IKEDA, Shozo KAWAMURA, Masami MATSUBARA

“…The features of the proposed method are: I) linear parameters are intentionally extracted based on the equation of motion, and II) guidelines for setting hyperparameters can be obtained from the behavior of the mean squared error (MSE). In this study, numerical simulations for parameter identification were performed to validate the proposed identification method. …”
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