Pregnancy probability prediction models based on 5 machine learning algorithms and comparison of their performance by REN Chao, REN Chao, YANG Huan, ZHOU Niya, ZHOU Niya

“…Five algorithms, that is, Logistic Regression, Naive Bayes, Random Forest, Gradient Boosting Machine, and Support Vector Machine, were used to construct preconception outcome prediction models, and the parameters of each model were optimized using random search combined with grid search. …”
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Research of Conceptual Design and Kinematic Characteristic of a 3-PRS Parallel Kinematic Machine by Tang Tengfei, Zhang Jun

“…A conceptual design of a parallel kinematic machine（ PKM） whose topological arrangement is a 3-PRS parallel mechanism is proposed. …”
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Pre-design optimization of the manipulation system with hydraulic drive for mobile transport-technological machine by Lagerev I.A.

“…In the article has developed an optimization mathematical model and methodology of selection of optimal parameters of manipulation of systems of transport and technological machines, which allows to increase their service performance and competitiveness. …”
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Concept and Implementation of Innovative Scalable Wind Turbine Emulator with Doubly Fed Asynchronous Machine by Robert Rink, Robert Małkowski, Bartłomiej Gawin, Klara Janiga

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Multi-Objective Optimization of Machinability and Energy Consumption of Cast Iron Depending on Cooling Rate by Burak Öztürk, Fuat Kara

“…Using genetic algorithms (GA) and Response Surface Methodology (RSM), this study optimized machining parameters for energy consumption and surface finish. …”
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Classification of Incidental Carcinoma of the Prostate Using Learning Vector Quantization and Support Vector Machines by Torsten Mattfeldt, Danilo Trijic, Hans‐Werner Gottfried, Hans A. Kestler

“…Learning vector quantization (LVQ) and support vector machines (SVM) were used for the purpose of prediction of tumour category from a set of 10 input variables (age, Gleason score, preoperative PSA value, immunohistochemical scores for proliferation and p53‐overexpression, 3 stereological parameters of angiogenesis, 2 stereological parameters of epithelial texture). …”
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Investigative study of hoisting machine loading when using frequency converter controlling systems by Goncharov K.A., Denisov I.A.

“…The impact of the operating regime of the hoisting machine generalized mechanism on the consistency of operation and the variation of the parameters of the mechanism controlling system with the electric drive and frequency converter is experimentally shown. …”
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BASED ON MATLAB AND EXCEL PROGRAMMING AND DEVELOPMENT THE NEW METHOD OF HEADING MACHINE CUTTING HEAD by ZHAO LiJuan, BAO WenJie, MA Qiang, ZHAO MingYang, LIU XuNan

“…Using MATLAB and EXCEL joint programming developed longitudinal roadheader cutting head design software,according to the existing conditions of tunneling face cutting head kinematics parameters necessary input through the cut,cut tooth can automatically generate the corresponding arrangement diagram,load curve and cutting diagram,obtain the cutting head shape,leaf number of head and pick arrangement parameters relationship mode and cutting power,cutting energy consumption ratio,cutting resistance and cutting area between,for the design and optimization of cutting head provides a new method. …”
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Leveraging machine learning to uncover the hidden links between trusting behavior and biological markers by Zimu Cao, Daiki Setoyama, Monica Natsumi Daudelin, Toshio Matsushima, Yuichiro Yada, Motoki Watabe, Takatoshi Hikida, Takahiro A Kato, Honda Naoki

“…To address this, we developed a machine learning method based on a Bayesian hierarchical model to quantitatively infer latent decision-making parameters from behavioural data collected during a trust game. …”
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Acoustic characterization of a three-phase asynchronous machine under stator unbalance defects by Abderrahman El Idrissi, Aziz Derouich, Said Mahfoud, Najib El Ouanjli, Ahmed Chantoufi, Youness El Mourabit

“…Methods based on the intelligent classification of machine sounds give good results in this area. However, despite this progress, there is still a need to build up a more extensive database and better classify faults according to various ASM parameters. …”
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A robust and statistical analyzed predictive model for drug toxicity using machine learning by Deepak Rawat, Rohit Bajaj, Rachit Manchanda, Ankush Mehta, Prabhu Paramasivam, Suraj Kumar Bhagat, Abinet Gosaye Ayanie

“…An optimized ensembled model is used to contrast the results of seven machine learning algorithms and three deep learning models with regard to state-of-the-art parameters. …”
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APPLICATION OF ELECTROSLAG CRUCIBLE MELTING FOR PRODUCTION OF CASTINGS OF IMPORTANT FUNCTION, USED IN MACHINE-BUILDING by V. A. Zemtsov, D. A. Meshkov, I. O. Sazonenko

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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…However, existing studies primarily use machine learning (ML) methods to qualitatively analyze maize lodging (lodging and non-lodging) or estimate the maize lodging percentage, while there is less research using deep learning (DL) to quantitatively estimate maize lodging parameters (type, severity, and direction). …”
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Unstuck Technology for EPB/TBM Dual Mode Shield Machine Stuck in Rock Stratum by DUAN Yueqiang

“…［Objective］ During the tunneling process of the EPB (earth pressure balance shield machine)/TBM (full-face hard rock tunnel boring machine) dual-mode shield tunneling machine, problems such as excessive wear of the cutting tools and improper setting of tunneling parameters are prone to cause accidents like jamming, which will further seriously affect the construction period and even lead to safety accidents. …”
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Precision Forging Technics and Precision Forging Machining Experiment of Driven Spiral Bevel Gear by Zhang Hua, Chen Jianfei, Yang Jianjun, Li Tianxing, Li Jubo

“…And according to the accurate machining parameters,spiral bevel gear 3D model can be created. …”
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Digital transformation of machine technology for onion harvesting using the theory of artificial neural networks by A. V. Sibiriev, A. S. Dorokhov, A. G. Aksenov

“…Analysis of the mathematical model of the working process of onion harvesting machine showed that the increase in the quality indicators of onion harvesting can be ensured by the optimal ratio of internal unregulated parameters of separate executive devices. …”
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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study by Katerina Lawrie, Petr Waldauf, Peter Balaz, Radoslav Bortel, Ricardo Lacerda, Emma Aitken, Krzysztof Letachowicz, Mario D’Oria, Vittorio Di Maso, Pavel Stasko, Antonio Gomes, Joana Fontainhas, Matej Pekar, Alena Srdelic, VAVASC Study Group, Stephen O’Neill

“…Demographics, risk factors, vessels parameters, types of predicted and created VA (pVA, cVA) were collected. …”
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Design and Simulation Analysis of a Multifunctional Intelligent Medical Bed by Zongde Lin, Shukun Wang, Xinying Lin, Lü Xiangcheng, Lü Zhiwei, Zhengwei Qian

“…The results show that the scheme of medical bed is feasible， the strength and stiffness conditions are satisfied， the parameter design is reasonable， and the ergonomics is satisfied.…”
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Prediction of the Control Effect of Fractured Leakage in Unconventional Reservoirs Using Machine Learning Method by Lei Pu, Jianjian Song, Mingbiao Xu, Jun Zhou, Peng Xu, Shanshan Zhou

“…Three types of factors and 14 parameters with a strong correlation with the leakage control effect were screened out. …”
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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

“…This study leverages machine learning (ML) techniques to predict financial default risks using smartphone data, providing a novel approach to financial risk assessment. …”
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