Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…Traditional empirical models have shown limited predictive capability due to their reliance on numerous adjustable parameters with insufficient physical interpretation. …”
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Evaluation of target temperature on effectiveness of myocardial preservation during hypothermic machine perfusion by Guilherme Mainardi Aguiar da Silva, MD, Mitchell J. Wagner, Sanaz Hatami, MD/PhD, Parham Hassanzadeh, Xiuhua Wang, PhD, Benjamin A. Adam, MD, Jayan Nagendran, MD/PhD, Darren H. Freed, MD/PhD

“…Results: All perfusion parameters were stable throughout (mean±SD): aortic flow 65±5.57 ml/min, aortic pressure: 11.51±3.17 mmHg. …”
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A hybrid machine learning approach for imbalanced irrigation water quality classification by Musa Mustapha, Mhamed Zineddine, Eran Kaufman, Liron Friedman, Maha Gmira, Kaloma Usman Majikumna, Ahmed El Hilali Alaoui

“…A dataset comprising 62,499 samples with six hydrochemical parameters (EC, Cl−, HCO3−, Na+, Ca2+, and Mg2+) was collected, preprocessed, and labeled. …”
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Damage prediction of rear plate in Whipple shields based on machine learning method by Chenyang Wu, Xiangbiao Liao, Lvtan Chen, Xiaowei Chen

“…Existing approaches, ranging from semi-empirical equations to a machine learning-based ballistic limit prediction method, are constrained to binary penetration classification. …”
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Identification of the Parameters of the Highly Saturated Permanent Magnet Synchronous Motor (PMSM): Selected Problems of Accuracy by Michal Gierczynski, Rafal Jakubowski, Emil Kupiec, Lukasz Jan Niewiara, Tomasz Tarczewski, Lech M. Grzesiak

“…An improved identification procedure with the look-up table-based dead time compensation and estimation of equivalent circuit resistance is applied to estimate the parameters of the highly saturated PMSM traction machine from the fourth generation of the Toyota Prius, and the obtained results are compared with a Finite Element Method-based model of this machine. …”
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Alternating current servo motor and programmable logic controller coupled with a pipe cutting machine based on human-machine interface using dandelion optimizer algorithm - attenti... by Santosh Prabhakar Agnihotri, Mandar Padmakar Joshi

“…The proposed research addresses the optimization challenges in servo motor control for pipe-cutting machines, aiming to enhance performance and efficiency. …”
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Optimizing Laser Cutting Parameters for Enhanced Surface Quality in Mild and Stainless Steel: An Experimental Study by Rita de Cássia Mendonça Sales‐Contini, Ivo Amaral, Rafael Resende Lucas, Arnaldo Manuel Guedes Pinto, Raul Duarte Salgueiral Gomes Campilho, Luís L. Magalhães, Francisco José Gomes da Silva

“…Thus, using different parameters recommended by machine manufacturers on AISI 316L stainless steel and St12 cold rolled steel, this study aims to provide insightful information that can be used to optimize the steel laser cutting process. …”
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Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…In this paper, we evaluate quantum machine learning algorithms for entity matching on a hand-crafted data set and compare them to similar classical algorithms. …”
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Eccentricity Parameters Identification for a Motorized Spindle System Based on Improved Maximum Likelihood Method by Wengui Mao, Chaoliang Hu, Jianhua Li, Zhonghua Huang, Guiping Liu

“…As a kind of rotor system, the electric spindle system is the core component of the precision grinding machine. The vibration caused by the mass imbalance is the main factor that causes the vibration of the grinding machine. …”
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Clinical parameters that predict a premature LH rise in patients undergoing ovarian stimulation for IVF by Maya Nasatzky, Yonathan Belicha, Ofer Fainaru

“…A model predicting premature LH rise based on clinical and demographic parameters was developed using both multiple linear regression and a machine-learning-based algorithm. …”
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ASSESSMENT OF PARAMETERS OF ALGORITHMS OF DIAGNOSING OF SYSTEMS OF CARS IN THE CONDITIONS OF HIGH DEGREE OF UNCERTAINTY OF BASIC DATA by V. E. Ovsyannikov, V. I. Vasilyev

“…In this article questions of an assessment of parameters of algorithms of diagnosing of systems of cars are considered. …”
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RESEARCH OF BUCKLING PROPERTY ON CORRUGATED STRUCTURE by KONG Bin, YANG JiaYong, ZHOU Bin, WANG Man, ZHANG Long, WANG Bo

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VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…Spectroscopic analysis was employed to evaluate the quality of three bell pepper varieties within the 350–1150 nm wavelength range. Quality parameters such as firmness, pH, soluble solids content, titratable acids, vitamin C, total phenols, and anthocyanins were measured. …”
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DEM simulation of subsoiling in tropical sugarcane fields: Effects of opposing subsoiler design and model parameters by Lijiao Wei, Weihua Huang, Jian Liu, Ming Li, Zhenhui Zheng, Shuo Wang, Dongjie Du, Yuan Zhang

“…During the subsoiling operation of clayey soil in sugarcane fields in tropical areas, there are key limitations such as high resistance caused by high adhesion and unsatisfactory subsoiling effects of machines and tools. To address these issues, this study first explored the machine's structural characteristics using a mechanism analysis method to identify key optimization parameters. …”
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The variation rule of TBM tunneling parameters in deep composite strata and the recognition method of boreability grade by Haibin Wang, Guogang Cui, Zhen Shi, Ling Zhang, Chengdeng Gao, Ziwei Ding

“…Descriptive statistics, correlation analysis, regression analysis, and other Mathematical and statistical methods are used to analyze the change rule of TBM tunneling parameters in different formations, and the optimized regulation range of tunneling parameters is proposed. …”
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Research on the surface roughness parameters of natural dimension stone during hydro-abrasive impact on rock by A.M. Makhno, I.A. Piskun

“…The article presents the results of experimental studies of the influence of the geometric parameters of the operation of a waterjet machine on the quality and decorativeness of the surfaces of plate blanks made of natural facing stone, which is expressed by the criterion of surface roughness of samples of high-strength granites of the Ukrainian crystalline shield. …”
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Core collaApse Supernovae parameTers estimatOR a novel software for data analysis by Simongini Andrea, Ragosta Fabio, Piranomonte Silvia, Di Palma Irene

“…This software enables the reconstruction of synthetic light curves and spectra via a machine learning technique that allows to retrieve the complete parameter map of a supernova having as only input the multi-band photometry data. …”
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Optimizing Milling Parameters and Halloysite Nanotube Concentration to Enhance Surface Quality and Reduce Energy Consumption by Laura Peña-Parás, Martha Rodríguez-Villalobos, Demófilo Maldonado-Cortés, Jaime A. González-García, Mónica Herrera-Maldonado, Gabriela Trousselle-Strozzi, Oscar E. Montemayor, Ángel G. Romero-Cantú, Daniel I. Quintanilla-Correa

“…Numerous studies have focused on determining the optimal machining parameters for various steels, aiming to reduce both energy consumption and the average surface roughness (Ra) of manufactured parts. …”
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An Analytical Study to Justify the Transformation from Traditional to Software-Defined Network in Terms of QoS Parameters by Alsammarraie Mahmood Jalal Ahmad, Noman Haeeder Munther, Hussein Ahmed Hefdhi Hussein, Abdulrazzaq Ali Abdulwahhab

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Designing composite external fixator for intertrochanteric fracture treatment based on Vietnamese femur morphological parameters by Quang-Tri Le, Tan-Bao-An Nguyen

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