A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles by Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig

“…Extensive experimental validation on an autonomous vehicle platform yields outstanding performance metrics: lateral tracking errors of 0.0225 m (RMSE), heading errors of 0.0476 rad, and longitudinal velocity tracking errors of 0.2725 m/s. …”
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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…Model performance was assessed by comparing the predicted values with the actual hospital arrival measurements using mean absolute error, R² score, residual standard deviation, and Spearman’s correlation coefficient. …”
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Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path by Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante

“…A quantitative analysis is performed between the measured and predicted data through the Standard deviation (SD), Root Mean Square Error (RMSE), and the Grey Relational Grade, combined with the Mean Absolute Percentage Error (GRG-MAPE). …”
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Integrating complexity in population modelling: From matrix to dynamic models by Adrián Flores-García, John Y. Dobson, Eva S. Fonfría, David García-García, César Bordehore

“…A dynamic model integrating the transition matrix of the original model is developed in STELLA Architect with the following improvements: (1) Sensitivity study of the reliability of the methodology for calculating the transition matrix and estimation of the errors of the fitting parameters; (2) Closure of the jellyfish life cycle by adding the polyp stage. …”
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A machine learning neural network architecture for the accelerating universe based modified gravity by Zulqurnain Sabir, Basma Souayeh, Zahraa Zaiour, Alyn Nazal, Mir Waqas Alam, Huda Alfannakh

“…To authenticate the accuracy, and competence of the solver, some tests have been taken using the parameters of regression, state transition, and error histogram.…”
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Waypoint-tracking Control of a Benthic AUV Based on Model-free Adaptive Control Method by Peng GAO, Lei WAN, Yu-fei XU, Guo-fang CHEN, Zi-yang ZHANG

“…And this strategy can significantly promote the smooth transition of the AUV at the waypoint switch and improve the convergence speed of the tracking error. …”
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Efficiency Enhancement and Estimation of Photovoltaic Energy Generation Using Dual-Axis Tracking Systems by Aditya Aggarwal, Himanshu Himanshu, Manav Sidana, Girish Gupta, Ishtdeep Singh Sodhi, Anamika Sharma

“…The relevance of these models is analysed based on multiple types of error such as MAE, MSE, RMSE, and R². …”
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Application of Curtain Grouting for Seepage Control in the Dongzhuang Dam: A 3D Fracture Network Modeling Approach by Ning Xia, Wen Nie, Zhenjia Yang, Yang Wu, Tuo Li

“…In under 100,000 simulations, when the allowable absolute error is set to 1, the optimal accuracy can reach 80%. …”
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Three-Dimensional Mesoscopic DEM Modeling and Compressive Behavior of Macroporous Recycled Concrete by Yupeng Xu, Fei Geng, Haoxiang Luan, Jun Chen, Hangli Yang, Peiwei Gao

“…Predictive formulas for peak strain and elastic modulus of MRC were established, with errors of 2.6% and 3.9%, respectively.…”
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Harmonization of marine gravity data in Eastern Baltic by Vents Zusevics

“…Thus, by applying correctional values geoid errors can be minimized in the problematic transition zone between terrestrial and marine data. …”
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Modeling of heat transfer and hydraulic resistance in short and long straight round pipes with semicircular turbulators depending on geometric and operating parameters by I. E. Lobanov

“…The calculation technique based on finite volume solutions of the Reynolds equation, closed using the Menter shear stress transfer model and the energy equation on a multi-scale intersecting structured grid, made it possible, with acceptable errors, to calculate the average coefficients of hydraulic resistance and heat transfer in a pipe with different quantities annular semicircular ledges.Result. …”
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Heat Transfer Analysis of Passive Residual Heat Removal Heat Exchanger under Tube outside Boiling Condition by Yanbin Liu, Xuesheng Wang, Qiming Men, Xiangyu Meng, Qing Zhang

“…For the tube outside transition region, a formulation is put forward to reduce error based on the Rohsenow subcooled boiling correlation.…”
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Combined Localization Method for Multimodal Wheel-Track Robots in Sheltered Space by Jiazhen Lin, Zhong Su, Hui Zhao, Yuxin Zhao, Xinkai Wang, Hao Zhou

“…This accounts for only 0.31% of the total distance traveled in the outdoor experiments, with an average error of 0.1611 meters. In the context of relative positioning within the underground tunnel, the localization error was measured at 0.2143 meters, representing a mere 0.2306% of the total distance covered in the tunnel. …”
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Analysing the ML-Based Algorithms for GNSS Data Bit Synchronization and Decoding by Bheki Madonsela, Emmanuel Wanyama Mukubwa, Innocent E. Davidson

“…The satellite constellation and environmental errors have a significant impact on the navigation system. …”
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Method for calculating the surface tension of hydrocarbons by E. V. Rytova, B. A. Arutyunov

“…The experimental data have an error of up to 3%. The generalized processing of the experimental data by the surface tension of hydrocarbons enables to obtain a calculation formula for determining the temperature dependence of the modified surface tension of hydrocarbons. …”
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Relationship between innovation, renewable energy, GDP, and environmental sustainability: The case of Germany by Vu Ngoc Xuan

“…GCT confirm a unidirectional causal link from INN to REC, while variance decomposition shows that INN and REC jointly explain over 40% of the forecast error variance in CO 2 emissions. These findings underscore the importance of sustained policy support for green INN and REC adoption. …”
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A Novel Approach to Parametric Studies in Nuclear Medicine by Pierce Ellingson, Jackson Penning, Zuzan Cayci, Farhad Jafari

“…Here, using randomly chosen rate constants, time activity curves (TACs) for a four-compartment model are created, and using different sampling regimens of these TACs, the rate constants are reconstructed in a large number of simulations. The least square error (LSE) and relative LSE in the reconstructed parameters are shown to be better than 1 × 10 − 4 . …”
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A long and winding road: making cannabis black markets legal by Jeremias Lachman, Andrés López, Sebastián Gómez-Roca

“…The objective of this paper is to show that even when the demand, the entrepreneurship and the technical knowledge needed to develop a cannabis industry were available, the creation of the institutional infrastructure required for guaranteeing a sound transition from black to legal markets has been a slow process of trial and error, which has curbed growth rates in this new industry. …”
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Event-Driven Prescribed-Time Tracking Control for Multiple UAVs with Flight State Constraints by Xueyan Han, Peng Yu, Maolong Lv, Yuyuan Shi, Ning Wang

“…The theoretical analysis demonstrates that all signals in the 6-DOF UAV system remain bounded, with tracking errors converging to the origin within the prescribed time. …”
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Topology identification and parameters estimation of LV distribution networks using open GIS data by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

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