Optimization of cutting depth parameters to achieve stability in the machining process by Tuyboyov Oybek, Muxiddinov Zayniddin, Sirojidinov Shamiliddin, Aliyeva Mahliyo, Urinov Nasillo

“…Results demonstrate that achieving an optimal balance between material removal rates and process stability is crucial for sustainable and efficient machining. Furthermore, this research underscores the importance of considering material properties, tool geometry, and machine rigidity in parameter optimization. …”
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A New Hybrid Machine Learning Method for Stellar Parameter Inference by Sujay Shankar, Michael A. Gully-Santiago, Caroline V. Morley

“…For 128,723 detected features, we map stellar parameters to spectral line parameters using linear interpolation. …”
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Robust parameter design for EDM-based AL2024-T3 machining by Emre Ayhan, Semih Güner, Mustafa Yurdakul, Yusuf Tansel İç

“…Although easy machinability has led to the preference for conventional machining methods for aluminum materials, nontraditional manufacturing methods are widely used today due to their low tolerance and ability to be processed in micro dimensions. …”
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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

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Application of Machine Learning Models to Multi-Parameter Maximum Magnitude Prediction by Jingye Zhang, Ke Sun, Xiaoming Han, Ning Mao

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Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant by T. Mohanraj, N. Radhika, S. Aswin Nanda, V. Vignesh, B. Jayaraman, K. R. Ratana Selvan, Yesgat Admassu

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Optimization of Machining Parameters for Reducing Drum Shape Error Phenomenon in Wire Electrical Discharge Machining Processes by Shih-Ming Wang, Li-Jen Hsu, Hariyanto Gunawan, Ren-Qi Tu

“…This study employed experimental analysis to investigate the effect of individual parameters on the shape error and machining removal rate (MRR). …”
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Investigation and optimization of machining parameters in Micro-WEDM of SMA to enhance performance by Rakesh R. Kolhapure, Duradundi S. Badkar

“…However, achieving high precision and surface integrity during machining remains a significant challenge. This study focuses on optimizing the Micro-Wire Electric Discharge Machining (μ-WEDM) parameters to enhance the machining efficiency and surface quality of Ti–Ni SMAs. …”
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Optimization of machining parameters in turning to steel using grey relational analysis by Wisam Naji Hasan, Dhyai H. Jawad Aljashaami

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REGISTRAR OF KINEMATICAL PARAMETERS OF ELECTRICAL MACHINES WITH SEPARATE ARCHITECTURE OF SYSTEM SOFTWARE by V.S. BYKADOR, A.D. LUKJANOV, O.V. ZIMOVNOV

“…Describing digital measurement device of kinematical parameters of electrical machines of technological equipment. …”
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Advanced Machine Learning Methods for the Prediction of the Optical Parameters of Tellurite Glasses by Fahimeh Ahmadi, Mohsen Hajihassani, Tryfon Sivenas, Stefanos Papanikolaou, Panagiotis G. Asteris

“…This study evaluates the predictive performance of advanced machine learning models, including DeepBoost, XGBoost, CatBoost, RF, and MLP, in estimating the Ω₂, Ω₄, and Ω₆ parameters based on a comprehensive set of input variables. …”
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Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures by Fadhillah Akmal, Ardian Nurcahya, Aldenia Alexandra, Intan Nurma Yulita, Dedy Kristanto, Irwan Ary Dharmawan

“…However, these methods are time-consuming and resource-intensive; therefore, this research explores the application of machine learning as an alternative method to predict the physical parameters of fractures such as permeability, surface roughness, and mean aperture. …”
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Intelligent Selection of Machining Parameters in Multipass Turnings Using Firefly Algorithm by Abderrahim Belloufi, Mekki Assas, Imane Rezgui

“…In this paper, a new optimization technique, firefly algorithm, is used for determining the machining parameters in a multipass turning operation model. …”
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Model of Optimization of Process Parameters for Machining of Separate Design Elements of the Product by Gulnara Zhetessova, Irina Khrustaleva, Viacheslav Shkodyrev, Olga Zharkevich, Aliya Kanatova, Murat Kozhanov, Gulim Tattimbetova, Gulnur Abdugaliyeva

“…The paper presents the results of controlling the machining process of a group of threaded holes by means of structural optimization of the machining process route and parametric optimization of cutting parameters for each working stroke. …”
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The Effect of Operational Cutting Parameters on Nitinol-60 in Wire Electrodischarge Machining by Ali Akbar LotfiNeyestanak, Saeed Daneshmand

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Modernization of drilling rigs using driving planetary machines with variable parameters by T. R. Holmuratov, P. S. Khujaev

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Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs by George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats

“…This research proposes a data-driven methodology for the estimation of flights’ hidden parameters combining mechanistic and advanced Artificial Intelligence/Machine Learning (AI/ML) models. …”
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Development of a Vertical Mashing Machine and Specifying its Main Parameters by A. V. Bogdanov, A. V. Gritsenko, M. V. Cheskidov, L. A. Shtrikker

“…(Results and discussion) Based on the calculations, the following parameters are specified: the body wall thickness, the cell diameter, the cone and conical auger parameters, as well as the machine operating modes. …”
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Machine Learning and Parameter Optimization for Banking Stability Prediction and Determinants Identification in ASEAN by Pham Thuy Tu, Dao Le Kieu Oanh, Do Doan Trang

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Design and Parameter Optimization of Drum Pick-Up Machine Based on Archimedean Curve by Caichao Liu, Feng Wu, Fengwei Gu, Man Gu, Jingzhan Ni, Weiweng Luo, Jiayong Pei, Mingzhu Cao, Bing Wang

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