Dissolved Oxygen Modeling by a Bayesian-Optimized Explainable Artificial Intelligence Approach by Qiulin Li, Jinchao He, Dewei Mu, Hao Liu, Shicheng Li

“…It is concluded that the BO-SVR model outperforms others, achieving a coefficient of determination (CD) of 0.97 and minimal error metrics (root mean square error = 0.395 mg/L, mean absolute error = 0.303 mg/L). …”
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Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South Sudan by Gabriel Makuei, Mali Abdollahian, Kaye Marion

“…Efficacy of the models is assessed by analyzing their prediction errors. The paper for the first time has used optimization procedures to develop yearly lower and upper profile limits for MMR. …”
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Optimal Selection of the Reference Potential Probe Point in DCPD Real-Time Monitoring of Crack Growth Rate by He Xue, Siyu Gou, Chenqiang Ni, Liang Zhang, Shuai Wang, Youjun Zhao

“…In this study, genetic algorithm (GA), finite element method (FEM), and experimental analysis are used to optimize the position of the reference potential probe point of the compact tensile (CT) sample. …”
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An Analytical Approximation of the Stress Function for Conical Flywheels by Miguel Garcia, Onofre Orozco-López, Jesús Uribe-Chavira, Andrés Blanco-Ortega

“…The results confirmed that the proposed analytical approach provides a reliable and efficient alternative to numerical methods in the design and optimization of conical flywheels, offering practical value for early-stage engineering analysis and reducing reliance on time-intensive simulations.…”
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Response Surface Methodology for Modelling and Optimizing Efficiency in Deep Well Pumping Systems by Nuri Orhan, Murat Çavuşlar, Meki Solmaz, Muhammet Emre Erdem

“…This study presents research on modelling the efficiency and flow rate of deep well pumping facilities using the response surface method, evaluating the models, and assessing optimization based on target flow rate. Regression and variance analysis techniques have been successfully employed to evaluate the relationship between input factors (input pressure and power drawn from the grid) and responses (system efficiency and flow rate). …”
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Robust State Estimation Method for Electric-Gas-Heat Integrated Energy System Considering Boundary Equation Constraints by Mengfang GUO, Xiang DU, Fei WANG

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Reliability and Quality of Complex Systems by D.N. Novomeisky, M.N. Piganov, E.T. Eskibaev

“…Computer modeling, programming, full-scale experiment, expert assessments were used. A systematic analysis of errors in the electrophysical processing of film resistors by high-frequency flare discharge is carried out. …”

Data-Driven Dynamic Optimization for Hosting Capacity Forecasting in Low-Voltage Grids by Md Tariqul Islam, M. J. Hossain, Md Ahasan Habib

“…The PSO determines the optimal weights and biases, and BO fine-tunes hyperparameters of the SERNN forecasting model to minimize the prediction error. …”
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Optimization of Gear Modification Amount based on Polynomial Response Surface Proxy Model by Yonghua Li, Wusong Wei, Xu Zhang

“…The results show that the fitted polynomial response surface proxy model has good accuracy and can accurately simulate the relationship between the gear modification parameters and the maximum contact stress. The optimal modification amount obtained by the particle swarm algorithm is used for gear modification， the maximum contact stress of the gear meshing process is reduced， the transmission error is reduced， and the eccentric load phenomenon is effectively improved.…”
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On efficient iterative schemes for finding all solutions of non-linear engineering problems by Mudassir Shams, Nasreen Kausar

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Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI by Adarsha Bhattarai, Chathumi Samaraweera, Mariano Uberti, Aditya N. Bade, Yutong Liu, Dongming Peng

“…Firstly, we use an optimization algorithm to identify a set of optimal sparse frequency offsets for data collection. …”
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Congestion Management Using an Optimized Deep Convolution Neural Network in Deregulated Environment by Dhanadeepika B., Vanithasri M., Chakravarthi M.

“…The proposed work adopts DCNN which is optimized using an Improved Lion Algorithm (LA) and aids in providing significant outcomes for congestion management with reduced error. …”
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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…XGBoost Machine Learning Algorithm is used to make predictions, and PSO is used to obtain the optimal mixture. The novelty of this study is the presence of concrete age variables, determination of PSO parameter weights using stakeholder preference analysis of construction in Indonesia with the AHP method, and validation of the PSO-recommended mixture using laboratory tests, which is still rarely done. …”
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Optimization of Pyroshock Test Conditions for Aerospace Components to Enhance Repeatability by Genetic Algorithms by Wonki Bae, Junhong Park

“…Configuring a suitable pyroshock test to meet these requirements typically involves extensive trial and error. This study aims to minimize such trial and error by examination of SRS changes through a numerical approach by table structural vibration analysis. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…This further demonstrates the effectiveness of the proposed optimization strategy.ConclusionsThe constructed grinding force prediction and process parameter optimization model has achieved systematic analysis and optimization of grinding force in robot sandstone processing. …”
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Modification and Optimization Design of Motor Train Unit Transmission Gear based on KISSsoft by Fan Naize, Tian Huajun, Pei Bang, Ning Ke, Zhao Jiadong, Liu Zhongming, Guan Rongxin, Liu Jianliang, Xu Hui

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Optimization-Based Downscaling of Satellite-Derived Isotropic Broadband Albedo to High Resolution by Niko Lukač, Domen Mongus, Marko Bizjak

“…Moreover, the proposed method achieved a root mean square error (RMSE) of 0.0179 and a mean absolute percentage error (MAPE) of 4.0299% against ground truth broadband albedo annotations of characteristic materials in the given urban area. …”
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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…Fatigue tests on optimized samples showed a mean life of 1.355×10⁷ cycles, with only a 0.8% error compared to simulation predictions, meeting strict engineering accuracy requirements.…”
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Multi-Criteria Optimization Method in Micro - EDM Coated Tungsten Carbide Electrode by Phan Huu Nguyen

“…It was found that capacitance has more significant nature in the process. The optimal process parameters combination was found with better accuracy and lower prediction error of 1.03%. …”
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Research on Path Optimization of Vehicle-Drone Joint Distribution considering Customer Priority by Xiaoye Zhou, Yuhao Feng

“…Compared with the three algorithms and error analysis, the effectiveness of the model and the two-stage algorithm was verified. …”
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