Research on Robust Adaptive Model Predictive Control Based on Vehicle State Uncertainty by Yinping Li, Li Liu

“…To overcome these limitations, three key innovations are introduced: a three-degree-of-freedom vehicle dynamic model integrated with recursive least squares-based online estimation of tire slip stiffness for real-time lateral force compensation; an adaptive weight adjustment mechanism that dynamically balances control energy consumption and tracking accuracy by tuning cost function weights based on real-time state errors; and a dynamic constraint relaxation strategy using slack variables with variable penalty terms to resolve infeasibility while suppressing excessive constraint violations. …”
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Retrieval of carbon and inorganic phosphorus during hydrothermal carbonization: ANN and RSM modeling by Abolfazl Shokri, Mohammad Amin Larki, Ahad Ghaemi

“…Next, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) were used to compare the results and improve the model fit. …”
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Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data by Dongwang Tao, Shizhe Fang, Haixu Liu, Jianqi Lu, Jiang Wang, Qiang Ma

“…Our results demonstrate that SVR-MDR model outperform other machine learning models such as kernel ridge regression and decision tree models, and SVR-MDR and RSVR-MDR models outperform conventional loglinear regression and multinomial models, because SVR can map the complex nonlinear function of multiple variables and consider the available information of buildings especially the fundamental frequency. …”
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A DQN-Based Algorithm for Operational Optimization of Freight Trains in Long Steep Downhill Sections by HE Zhiyu, LI Yinan, LI Hui, JI Zhijun

“…The study employed the batch collection of training samples utilizing experience replay and a double-network mechanism, along with the preprocessing of neural network state inputs, and the investigation into feasible regions within the action space using a variable ε-greedy strategy. A loss function based on the value function was then constructed, and network parameters were updated iteratively by a batch gradient descent method. …”
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Similarity Solutions for Multiterm Time-Fractional Diffusion Equation by A. Elsaid, M. S. Abdel Latif, M. Maneea

“…Based on the obtained results, we propose a definition for a multiterm error function with generalized coefficients.…”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

“…For the error minimization, objective function is framed. The objective function is then converted in the form of weighted objective function by employing SMART based weight determination approach. …”
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Factors Influencing The Use of QRIS in Digital Transactions by Fadhil Muhammad, Arif Imam Suroso, Setiadi Djohar

“…Purpose: The purpose of QRIS is to expand the efficient acceptance of non-cash payments, focusing on traditional mass economic functions (such as traditional markets and MSMEs). …”
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A toolkit for facilitating markerless integration of expression cassettes in Komagataella phaffii via CRISPR/Cas9 by Laura García-Calvo, Charlotte Kummen, Solvor Rustad, Sissel Beate Rønning, Annette Fagerlund

“…The 04576 locus showed the highest integration efficiency, while ROX1 had the highest transformation efficiency. …”
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Two‐dimensional echocardiographic right heart ratios for assessment of right heart size in dogs: Reference intervals and reproducibility by Jacqueline N. Sankisov, Lance C. Visser, Kate E. Davis, June A. Boon, Evan S. Ross, Abigail C. Laws

“…Conclusions and Clinical Importance Reference intervals for simple body weight‐independent right heart ratios are available to help detect abnormalities of right heart size and function. Reproducibility coefficients might be useful to help identify meaningful changes in right heart size during serial evaluations.…”
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Predicting the Cetane Number of Biodiesel using two AI-Models: the Gradient-based ANN and ANN Optimized by Genetic Algorithm by Hadis Tanha, Fatemeh Bashipour

“…The learning function, transfer function, number of hidden layers, and number of neurons in the hidden layers are some of the optimized parameters in the current AI-models. …”
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Optimizing switching sequences in AC-AC converters for enhanced safety and performance in conveyor systems by Velmurugan Dhandapani, Gopinath Balasubramanian

“…Industrial systems require optimized control to maintain efficiency under variable loads. Fault conditions influence power stability and overall system functionality. …”
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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Conclusion The results of this study with respect to the correlation coefficient of 0.5012 with real data and high spatial resolution of the output map showed the efficiency of using different bands of radar images in estimating surface moisture. …”
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Techno-economic assessment of low-carbon ammonia as fuel for the maritime sector by Wouter Schreuder, J. Chris Slootweg, Bob van der Zwaan

“…We incorporate three different cost levels for ammonia and a variable engine efficiency ranging from 35 % to 55 %. …”
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Fisher Information-Based Optimization of Mapped Fourier Grid Methods by Sotiris Danakas, Samuel Cohen

“…The mapped Fourier grid method (mapped-FGM) is a simple and efficient discrete variable representation (DVR) numerical technique for solving atomic radial Schrödinger differential equations. …”
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Arbitrary finite spectrum assignment and stabilization of bilinear systems with multiple lumped and distributed delays in state by Vasilii Zaitsev, Inna Kim

“…One needs to construct control vectors such that the characteristic function of the closed-loop system is equal to a polynomial with arbitrary given coefficients. …”
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ABOUT SOME FEATURES OF TRANSMISSION MODE FOR ACTIVE POWER OF ELECTRICAL LINE by Paţiuc V., Berzan V.P., Anisimov V., Cabac S., Postotonca S.

“…It enteritis that for the active character load of the active power input and power output of the line, so functions , and functions that characterize developments efficiency , power factor at the input line and the load power factor when the variable z. …”
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On practical aspects of optimal modelling in boundary element method by A. Brański, R. Olszewski

“…Since the optimal discretization theory derived for the function of one variable, then only the 2D problem is considered. …”
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THE CORRELATION BETWEEN TOURISM ACCOMMODATION CAPACITY AND TOURIST INFLOW BY MICRO REGION OF DEVELOPMENT IN ROMANIA by Agatha POPESCU

“…In this purpose, the data provided by the National Institute of Statistics were processed using the indices with fixed and variable basis, comparison method, statistical parameters, Pearson coefficient of correlation, and linear regression function. …”
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Elastic Stress and Plastic Zone Distributions around a Deeply Buried Tunnel under the Nonhydrostatic Pressure by Shuhong Liu, Jinlu Fan, Chenhao Wu, Yongquan Zhu

“…Based on Muskhelishvili’s complex variable function, the analytical solution for the elastic stress around a deeply buried noncircular tunnel under the nonhydrostatic pressure is firstly derived. …”
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Manufacturing of Rotational Toroidal Shells in Coin Minting by Luís M. Alves, Paulo Alexandrino, Sónia Pereira

“…Through finite element modeling and experimentation, key process variables were identified, ensuring sound hollow toroidal shells with efficient rotation.…”
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