On the Effects of Parameters on Galaxy Properties in CAMELS and the Predictability of Ωm by Gabriella Contardo, Roberto Trotta, Serafina Di Gioia, David W. Hogg, Francisco Villaescusa-Navarro

“…Recent analyses of cosmological hydrodynamic simulations from CAMELS have shown that machine learning models can predict the parameter describing the total matter content of the universe, Ω _m , from the features of a single galaxy. …”
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Balancing Productivity and Sustainability in EDM: A Comprehensive Analysis of Energy Consumption and Electrode Degradation by Sunil Kumar Maurya, Gianni Campatelli, Massimo Veracini, Massimo Arcioni, Dario Clori

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Study of the Influence of the Two-Drive-Axle Bogie Parameters on the Three-Axle Vehicle Handling by Vasyl Mateichyk, Anatolii Soltus, Eduard Klimov, Miroslaw Smieszek, Nataliia Kostian, Liudmyla Tarandushka, Nazar Marchuk

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Optimization of Shear-Thickening Polishing Parameters for Optical Glass Based on Grey Relational Analysis by Yunxiao Han, Yangsi Yang, Binghai Lyu, Wei Hang, Xu Wang, Julong Yuan

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A Strain-Based Method to Estimate Rolling Tire Grounding Parameters and Vertical Force by Jintao Zhang, Zhecheng Jing, Haichao Zhou, Haoran Li, Guolin Wang

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Artificial neural network applying for justification of tractors undercarriages parameters by V. A. Kuz’Min, R. S. Fedotkin, V. A. Kryuchkov

“…The authors justify the need for analysis of traction and transportation machines travel systems and recommendations for these parameters applied to machines that are on design or modernization stage. …”
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Multiobjective Optimization of Tool Geometric Parameters Using Genetic Algorithm by Maohua Du, Zheng Cheng, Yanfei Zhang, Shensong Wang

“…Tool geometric parameters have a huge impact on tool wear. Up to now, there are only a few researches on tool geometric parameters and optimization, and the single objective function of parameter optimization used by researchers during high-speed machining (HSM) mainly is the minimum cutting force. …”
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Parameter Stress Response Prediction for Vehicle Dust Extraction Fan Impeller Based on Feedback Neural Network by Feng Zhang, Yuxiang Tian, Ruijie Du, Yuxiao Xu, Yang Gao, Xin Li

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The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader by Ignatov S.D.

“…This optimization helps improve grading accuracy, reduce engine load, and extend the service life of the structure. Optimizing the parameters of blade equipment is a complex engineering challenge that requires considering multiple factors, including blade geometry, installation angles, soil properties, dynamic loads, and machine energy efficiency. …”
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Global miniaturization of broadband antennas by prescreening and machine learning by Slawomir Koziel, Anna Pietrenko-Dabrowska, Ubaid Ullah

“…Additionally, the task is multimodal due to typical parameter redundancy resulting from various topological modifications in compact antennas. …”
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Unearthing large pseudoscalar Yukawa couplings with machine learning by Fernando Abreu de Souza, Rafael Boto, Miguel Crispim Romão, Pedro N. Figueiredo, Jorge C. Romão, João P. Silva

“…We consider the possibility of large pseudoscalar Yukawa couplings in the softly-broken ℤ2 × ℤ2′ three-Higgs doublet model with CP violating coefficients. To explore the parameter space of the model, we employ a Machine Learning algorithm that significantly enhances sampling efficiency. …”
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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. In this paper, the researchers have examined the functions of the Support Vector Machine, Decision Tree, naive Bayes, and KNN classifiers. …”
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Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

“…This study presents a comprehensive comparative analysis of three advanced machine learning models—Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Multilayer Perceptron (MLP)—to predict antenna alignments based on S-parameter measurements. …”
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The Structure Design of Single Locomotive Bearing-examining Machine by 李小勇, 曾承志, 宋辛晖, 王定晓

“…Principle, characteristics, composition, performance and technique parameter of structure design of JK11412 bearing examination machine were introduced. …”
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SURFACE ROUGHNESS DECREASE IN THE ELECTROCHEMICAL-ULTRASONIC HYBRID MACHINING by Cornel Cristian Enciu, Liviu Daniel Ghiculescu, Ovidiu Dorin Alupei Cojocariu, Marius Vali Lazar

“…A scanning electron microscope analysis of the processed surfaces was carried out, followed by a study of the influence of each machining parameter (current density, ultrasonic power, machining time). …”
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Investigation on Surface Roughness of Inconel 718 in Photochemical Machining by Nitin D. Misal, Mudigonda Sadaiah

“…The present work is focused on estimating the optimal machining parameters required for photochemical machining (PCM) of an Inconel 718 and effects of these parameters on surface topology. …”
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A Data-Driven Parameter Adaptive Clustering Algorithm Based on Density Peak by Tao Du, Shouning Qu, Qin Wang

“…However, most of the existing clustering algorithms need to set parameters artificially, and the results of clustering are much influenced by these parameters, so optimizing clustering parameters is a key factor of improving clustering performance. …”
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Study of Surface Roughness of Machined Polymer Composite Material by Zuzana Hutyrová, Jozef Zajac, Peter Michalik, Dušan Mitaľ, Ján Duplák, Stanislav Gajdoš

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Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

“…This paper describes a supporting vector machine-based artificial intelligence algorithm as one of the possible solutions to the problem of random data processing and the provision of interactive indication for further actions. …”
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Analytical Estimation of Induced Voltage in Rotating Electrical Machines by Marius Meiswinkel, Amir Ebrahimi, Anjali Biju

“…In this paper, the projection function is used to present a general method of estimating induced voltage in rotating machines with different winding topologies. This has been done for integer and fractional multi-layer windings in different machines, as well as the damper bars in the rotor. …”
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