Investigating the hyperparameter space of deep neural network models for reaction coordinates by Kyohei Kawashima, Takumi Sato, Kei-ichi Okazaki, Kang Kim, Nobuyuki Matubayasi, Toshifumi Mori

“…The current study shows that the structure of the DNN models can be rather flexible, while the suitably optimized models share the same features; therefore, a common mechanism from the RC can be extracted.…”
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Optimization of heat transfer in a channel with stretching walls using a magnetized tetra-hybrid nanofluid by Meshal Shutaywi, Jawad Raza, Liaquat Ali Lund, Zahir Shah, Narcisa Vrinceanu, Wejdan Deebani

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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator by Nafisa Mehtaj, Sourav Banerjee

“…Despite current challenges, such as optimization difficulties and scalability constraints, PINNs hold transformative potential for advancing wave propagation modeling. …”
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Thermodynamic modelling of the lead sintering roasting process by Rojas Sánchez T., Serrano Romero A., Ramírez Hernández A., López Rodríguez J., Almaguer Guzmán I., Benavides Pérez R., Flores Favela M.

“…This model can be used to optimize the operating conditions of the lead sintering process.…”
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Influencing Mechanism of the Social Role of Government Digital Human on Public Adoption Behavior by WEI Tianyu, LIU Zhongyi, ZHANG Ning

“…We have verified the applicability of the theoretical model in real government service scenarios and expand the existing conclusions. …”
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Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries by A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Ezzeddine Touti, Ahmed I. Omar

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Development of Electrohydraulic Proportional Valve Model for Precise Steering Control in Autonomous Tractors by Yi-Seo Min, Yong-Joo Kim, Seung-Yun Baek, Seung-Min Baek, Wan-Soo Kim

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Design Optimization of Secondary Element of Single-Sided Linear Induction Motors Using a Genetic Algorithm by V. A. Prakht, V. V. Goman, A. S. Paramonov

“…Comparison of genetic algorithm with classical methods in the context of electrical machines designing has been carried out. The results of solving an optimization problem for two designs are presented, viz. a laboratory linear induction electric motor based on a three-phase SL-5-100 inductor and a traction single-sided linear induction electric motor of an urban transport system. …”
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A Robot Error Prediction and Compensation Method Using Joint Weights Optimization Within Configuration Space by Fantong Meng, Jinhua Wei, Qianyi Feng, Zhigang Dong, Renke Kang, Dongming Guo, Jiankun Yang

“…A spatial-interpolation-based unbiased estimation method with joint weights optimization is proposed for robot errors prediction, and the particle filter method is utilized to search for the optimal joint weights, enhancing the anisotropic characteristics of the prediction model. …”
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A novel framework for seasonal affective disorder detection: Comprehensive machine learning analysis using multimodal social media data and SMOTE by Md. Shamshuzzoha, Tazkia Tasnim Bahar Audry, Md. Jahangir Alam, Zaheed Ahmed Bhuiyan, Md Motaharul Islam, Mohammad Mehedi Hassan

“…This research advances SAD detection by integrating robust dataset curation, class imbalance mitigation, and machine learning optimization, paving the way for more effective mental health monitoring through social media analytics.…”
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Geotechnical evaluation of embankment stability in seismic zones using Monte Carlo and subset simulations within an LRFD framework aided by machine learning by Furquan Ahmad, Pramod Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Pijush Samui

“…This study uniquely integrates probabilistic techniques with hybrid machine learning optimization algorithms (RF-YYPO, RF-BWOA, and RF-SMA) under an LRFD framework, which has not been previously implemented for seismic slope stability of railway embankments.…”
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Prediction of the thermophysical properties of Ag-reduced graphene oxide-water/ethylene-glycol hybrid nanofluids using different machine learning methods by Huaguang Li, Ali B.M. Ali, Rasha Abed Hussein, Narinderjit Singh Sawaran Singh, Barno Abdullaeva, Zubair Ahmad, Soheil Salahshour, Mohammadreza Baghoolizadeh, Mostafa Pirmoradian

“…Finally, through the TOPSIS method, the best point was chosen giving a blend of ideal thermophysical properties. This signifies that machine learning methods can be successfully employed for the prediction and optimization of hybrid nanofluid characteristics.…”
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Minimum and optimal combined variations in sleep, physical activity, and nutrition in relation to all-cause mortality risk by Emmanuel Stamatakis, Nicholas A. Koemel, Raaj K. Biswas, Matthew N. Ahmadi, Margaret Allman-Farinelli, Stewart G. Trost, Elif Inan-Eroglu, Borja del Pozo Cruz, Yu Sun Bin, Svetlana Postnova, Mitch J. Duncan, Dorothea Dumuid, Helen Brown, Carol Maher, Luigi Fontana, Stephen Simpson, Peter A. Cistulli

“…Cox proportional hazards models were used to estimate hazard ratios (HR) for all-cause mortality risk across 27 separate joint tertile combinations of SPAN behaviours with the lowest tertile for all three as the referent group. …”
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Optimizing oil production forecasts in Iranian oil fields: a comprehensive analysis using ensemble learning techniques by Mohammad Ghodsi, Pouya Vaziri, Mahdi Kanaani, Behnam Sedaee

“…Unlike traditional forecasting methods, which often rely on single-model approaches with limited adaptability to complex, the methodology integrates multiple machine learning algorithms each optimized using distinct, hyperparameter tuning techniques. …”
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Multiobjective Optimization of Milling Parameters for Ultrahigh-Strength Steel AF1410 Based on the NSGA-II Method by Jin Xu, Fuwu Yan, Yan Li, Zhenchao Yang, Long Li

“…The NSGA-II has been applied to obtain a set of optimal combination of parameters from the Pareto-optimal solution set to enhance the machining conditions.…”
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Meta-heuristic algorithm based optimization studies in cryogenic and conventional milling of magnesium alloy AZ91 by Vikas Marakini, Srinivasa Pai P, Grynal D’Mello, Udaya K Bhat, DineshSingh Thakur, Bhaskara P Achar

“…Modeling the surface roughness and hardness of a machined component is challenging for several reasons. …”
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Active Attitude Stabilization and Power-Constrained Control of Bicycles Based on VSCMG System by Huifeng Kang, Xiangqiu Chen, Zehui Wang, Jifa Zhu, Guangqing Xia

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Research on Load Adaptive Control for High-Frequency Motion of Voice Coil Motor With Online Parameter Optimization by Feng Huang, Chenxi Wang, Qipeng Li

“…To address this issue, this research proposes an innovative adaptive control method based on online parameter optimization. By enabling the Back Propagation Neural Network (BPNN) to learn the key characteristics of the VCM’s driving current under different working conditions, and through continuous iterations during the training process of the network model, real-time online adjustment of controller parameters is achieved, thereby realizing the adaptive control of the VCM. …”
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Research on Optimizing Spray Parameters for Cr3C2 - NiCr Coating Created on Alloy Steel by Plasma Spraying Technique by Thao Xuan Dang, Nguyen Hong Son, Pham Duc Cuong

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Development and Fuel Economy Optimization of Series–Parallel Hybrid Powertrain for Van-Style VW Crafter Vehicle by Ahmed Nabil Farouk Abdelbaky, Aminu Babangida, Abdullahi Bala Kunya, Péter Tamás Szemes

“…A MATLAB (R2024b) Simulink model of the hybrid system is developed, and its speed tracking PID controller is optimized using genetic algorithm (GA) and particle swarm optimization (PSO) methods. …”
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