Improving Mountainous DSM Accuracy Through an Innovative Opposite-Side Radargrammetry Algorithm by Jian Wang, Huiming Chai, Xiaoshuai Li, Xiaolei Lv

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Evaluation of Personal Radiation Exposure From Wireless Signals in Indoor and Outdoor Environments by Pan Ruijie, Aduwati Sali, Lu Li, Muhammad Zamir Mohyedin, Sangin Qahtan

“…From the ML models, Total Emission Ratio (TER), Root Mean Square Error (RMSE) and Coefficient of Determination (R2) are evaluated to measure the performance of ML. …”
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Artificial intelligence-driven near-infrared spectrophotometry model for rapid quantification of anti-nutritional factors in soybean (Glycine max.) by Norberto Jose Palange, Tonny Obua, Julius Pyton Sserumaga, Enoch Wembabazi, Mildred Ochwo-Ssemakula, Ephraim Nuwamanya, Isaac Onziga Dramadri, Moses Matovu, Richard Edema, Phinehas Tukamuhabwa

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Mechanical Anastomotic Coupling Device versus Hand-sewn Venous Anastomosis in Head and Neck Reconstruction—An Analysis of 1694 Venous Anastomoses by Rajan Arora, Kripa Shanker Mishra, Hemant T. Bhoye, Ajay Kumar Dewan, Ravi K. Singh, Ravikiran Naalla

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Differential Evolution Algorithm for Identification of Structural Damage in Steel Beams by Brunno Emidio Sobrinho, Gilberto Gomes, Welington Vital da Silva, Ramon Silva, Erwin U. L. Palechor, Luciano M. Bezerra

“…Problems involving errors and uncertainties from the use of numerical and experimental responses of beams using optimization processes have been studied by many researchers. …”
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Applying Neural Networks to Predict Offshore Platform Dynamics by Nikolas Martzikos, Carlo Ruzzo, Giovanni Malara, Vincenzo Fiamma, Felice Arena

“…With a Normalized Root Mean Square Error (NRMSE) of 1.7–4.7%, the results show how ANNs can effectively predict offshore platform dynamics. …”
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Adaptive Back-stepping Stability Control Strategy for MMC Based on Legendre Polynomial by Lei XU, Xiangyang XIA, Huabing JING, Yixuan LIU, Yedan HE, Haigan YI

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Simulation and optimization of CNC cylindrical grinder Performance based on equivalent analysis of joints spring-damping characteristics by Qi Mingzheng, Wang Han, Sun Xizhi, Li Tianjian, Guo Yang, Wu Tao

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Machine learning modeling for thermochemical biohydrogen production from biomass by Yingju Chang, Wei Wang, Jo-Shu Chang, Duu-Jong Lee

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Analysis of Common Causes of Out-of-Specification Results in the Test for Depressor Substances by TONG Xiyang, QUE Changtian, ZHANG Feng, ZHAO Lu, WANG Hongping

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Intelligent irrigation strategy model for farmland using dung beetle optimization-random forest algorithms by Wenwen Hu, Yong Liu, Jun An, Shipu Xu, Zhiwen Zhou, Mingming An, Xiaokun Guo, Xiang Ma, Wenfei Jiang, Yunsheng Wang

“…The obtained results demonstrated that the DBO algorithm significantly could enhance the Random Forest (RF) model's predictive accuracy, the Mean Absolute Error (MAE) and the Mean Square Error (MSE) were reduced to 0.30321 and 0.16382 respectively, the coefficient of determination (R²) had increased to 0.86255. …”
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Water Mass Transformation Budgets in Finite‐Volume Generalized Vertical Coordinate Ocean Models by Henri F. Drake, Shanice Bailey, Raphael Dussin, Stephen M. Griffies, John Krasting, Graeme MacGilchrist, Geoffrey Stanley, Jan‐Erik Tesdal, Jan D. Zika

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Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products by Yoisdel Castillo Alvarez, Reinier Jiménez Borges, Gendry Alfonso-Francia, Berlan Rodríguez Pérez, Carlos Diego Patiño Vidal, Luis Angel Iturralde Carrera, Juvenal Rodríguez-Reséndiz

“…It is validated using national statistical series from 2000 to 2018 and presents relative errors below 5%. Cuba, with a peak of over 13,000 GWh of electricity from bagasse, and Peru, with a stable output between 6500 and 7500 GWh, reflect the highest and lowest projected energy utilization, respectively. …”
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Ensuring Semantic Consistency in SysML v2 Models Through Metamodel-Driven Validation by Eduardo Cibrian, Jose Olivert-Iserte, Carlos Diez-Fenoy, Roy Mendieta, Juan Llorens, Jose Maria Alvarez-Rodriguez

“…A practical case study validates the method on SysML v2 models of aerospace, automotive, and software development domains, demonstrating the systematic identification and resolution of errors. This research advances SysML v2 model validation, contributing to broader MBSE objectives by ensuring correct SysML v2 models for complex system development in multi-disciplinary environments.…”
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The Generation of TGO-CaSSIS Stereo Products after six years of scientific mission: The Complete Stereo Chain of INAF by A. Tullo, C. Re, E. Simioni, S. Bertoli, R. La Grassa, G. Cremonese, N. Thomas

“…A recent improvement through the integration of Bundle Adjustment, using the jigsaw tool from the USGS ISIS suite, has enhanced the precision of the data, reducing errors in the final 3D products. Overall, the work on CaSSIS and 3DPD plays a significant role in advancing Mars exploration, producing high-quality topographic maps and spatial data critical for scientific research.…”
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Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

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Intelligent islanding detection framework for smart grids using wavelet scalograms and HOG feature fusion by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Akshit Samadhiya, Ahmad Taher Azar, Mohamed Tounsi, Naglaa F. Soliman, Walid El-Shafai

“…Comprehensive performance assessments under various noise conditions and challenging scenarios demonstrate that this methodology significantly surpasses existing state-of-the-art methods in terms of accuracy, precision, recall, F1-score, and reduced misclassification errors. Furthermore, real-time testing using the OPAL-RT platform confirms the practical applicability, reliability, and robustness of the proposed system. …”
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Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

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Rotation at the Fully Convective Boundary: Insights from Wide WD + MS Binary Systems by Federica Chiti, Jennifer L. van Saders, Tyler M. Heintz, J. J. Hermes, J. M. Joel Ong, Daniel R. Hey, Michele M. Ramirez-Weinhouse, Alison Dugas

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Effects of Coverage Area Treatment, Spatial Analysis Unit, and Regression Model on the Results of Station-Level Demand Modeling of Urban Rail Transit by Hongtai Yang, Chaojing Li, Xuan Li, Jinghai Huo, Yi Wen, Emma G. P. Sexton, Yugang Liu

“…Most models show that the generalized additive models have lower mean absolute percentage errors (MAPE) and higher adjusted R2 values. By comparison, the Akaike information criterion (AIC) values of the negative binomial models are lower. …”
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