Mathematical Description of Impact Interaction Parameters of Vibro-Acoustic System with Rigid Base by M. G. Kiselev, V. A. Nifagin, A. V. Drozdov

“…The mathematical model of the open vibro-acoustic system of the modernized machine tool cutting section is studied in the paper. …”
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Back Analysis of Geomechanical Parameters in Underground Engineering Using Artificial Bee Colony by Changxing Zhu, Hongbo Zhao, Ming Zhao

“…To the problem without analytical solution, optimal back analysis is time-consuming, and least square support vector machine (LSSVM) was used to build the relationship between unknown geomechanical parameters and displacement and improve the efficiency of back analysis. …”
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The study of the hoisting rope with changes in geometric parameters and mechanical properties of screw elements by Polyakov S.V.

“…Based on the data obtained, it was concluded that the use of lifting ropes made both considering the difference in geometric parameters and without considering the geometric parameters and mechanical properties of the screw elements of the rope. …”
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A malware detection method with function parameters encoding and function dependency modeling by Ronghao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng

“…Although researchers have introduced traditional machine learning and deep learning methods to conduct extensive research on functions in malware detection, these methods have largely ignored the analysis of function parameters and functional dependencies. …”
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Development of intelligent monitoring system for tension overhead line construction based on multi-parameter sensing by Liu-Huo Wang, Qi Xiao, Feng Wang, Xiao-Bin Li, Hua-Shen Guan, Bao-Jun Liu

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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

“…However, understanding the interactions of these designs with machining parameter selection considered time-taking process through various trial and error experiments. …”
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Determination of Kinematic Hardening Parameters in W-Temper Forming of 6082 Aluminum Alloy by Dessie Jemal Ebrahim, Rónai László, Lukács Zsolt

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Impact of fine-tuning parameters of convolutional neural network for skin cancer detection by Zaib Unnisa, Asadullah Tariq, Nadeem Sarwar, Irfanud Din, Mohamed Adel Serhani, Zouheir Trabelsi

“…The literature has employed numerous Machine Learning (ML) and Deep Learning (DL) algorithms to detect skin cancer. …”
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Composition of Innovative Activity’ Parameters for a System of Analysis and Making Decision in the Innovations by Irina Anatolyevna Razumova, Nadezhda Nikolaevna Pokrovskaya, Lilia Vilyevna Akhmerova

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A Pellet 3D Printer: Device Design and Process Parameters Optimization by Shiyi Liu, Peng Zhao, Senyang Wu, Chengqian Zhang, Jianzhong Fu, Zichen Chen

“…The optimal parameters were, a stepper motor speed of 1.256 mm3 s−1, a nozzle moving speed of 9.6 mm s−1, and 1.1 mm of height between the nozzle and the platform. …”
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Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters by Yong Qing, Ke Li, Peng-Fei Zhou, Shi-Ju Ran

“…The neural network (NN) designed for challenging machine learning tasks is in general a highly nonlinear mapping that contains numerous variational parameters. …”
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Human factor parameters influence scaling on professional risk level at engineering facilities by N. O. Kovalkovskaya, V. V. Kuleshov, V. S. Serdyuk, E. V. Bakiko

“…The article deals with the workplace safety issues in the machine-building industry taking into account the human factor influence. …”
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Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

“…Furthermore, the time series analysis of these parameters showed seasonal behaviors of the SAR features in both forest types. …”
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Impact of dioxins and polychlorinated biphenyls on kidney parameters: The modulatory role of vitamin D by Dongdong Zhang, Xixi Qiao, Juan Peng, Jingjing Quan, Zhijun Huang, Bin Yi

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Extraction of Physical Parameters of RRab Variables Using Neural Network Based Interpolator by Nitesh Kumar, Harinder P. Singh, Oleg Malkov, Santosh Joshi, Kefeng Tan, Philippe Prugniel, Anupam Bhardwaj

“…In this study, we present a machine learning framework that uses feedforward artificial neural networks (ANNs) to infer stellar parameters—mass (<i>M</i>), luminosity (log(<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mo>/</mo><msub><mi>L</mi><mo>⊙</mo></msub></mrow></semantics></math></inline-formula>)), effective temperature (log(<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>T</mi><mi>eff</mi></msub></semantics></math></inline-formula>)), and metallicity (<i>Z</i>)—directly from Transiting Exoplanet Survey Satellite (TESS) light curves. …”
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Study on the Influence Mechanism of Servo Gain Parameter on the Pitch Deviation Error of Tool Retracting Position by Zhao Chunhua, Liang Zhipeng

“…The pitch deviation error of tool retracting position is a critical problem during the machining process of gears with numerical control（NC） shaping machine.After analyzing the influence factors of gear machining accuracy,generating motion out-of-sync is identified as the primary cause of the pitch deviation error in the case of well controlling of geometric accuracy,motion error and positioning precision.In order to reduce the influence of gear installation error and measurement error on gear pitch deviation measurement precision,an online gear precision detection device is designed.According to the influence law of servo gain parameter on the control shaft of servo motor,several orthogonal gear shaping tests are carried out by changing the servo gain parameter.The test results prove that the generating motion out-of-sync of tool retracting position is the primary cause of the pitch deviation error of tool retracting position.Simultaneously,the influence law of servo gain parameter on the pitch deviation error of tool retracting position is analyzed and the corresponding parameter adjustment strategies are proposed.The study provides a new approach to solve the pitch deviation error problem of tool retracting position with NC shaping machine.…”
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Gravitational-wave Parameter Estimation in Non-Gaussian Noise Using Score-based Likelihood Characterization by Ronan Legin, Maximiliano Isi, Kaze W. K. Wong, Yashar Hezaveh, Laurence Perreault-Levasseur

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Development of a multiaxial fatigue damage parameter and life prediction methodology for non-proportional loading by Sandip Suman, Alan Kallmeye, John Smith

“…Test data have been analyzed and a critical-plane based fatigue damage parameter has been developed. This fatigue damage parameter contains stress and strain terms, as well as a term consisting of the maximum value of the product of normal and shear stresses on the critical plane. …”
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The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison by Davide Piras, Alicja Polanska, Alessio Spurio Mancini, Matthew A. Price, Jason D. McEwen

“…Specifically, we combine (i) emulation, where a machine learning model is trained to mimic cosmological observables, e.g. …”
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Reliability-Based Design Optimization Strategy for Soil Tillage Equipment Considering Soil Parameter Uncertainty by Ghias Mohamed Kharmanda, Imad Rezakalla Antypas

“…The objective of this work is to provide an efficient tool of Reliability-Based Design Optimization (RBDO) for soil tillage machine design process in order to achieve designs with a required reliability (safety) level. …”
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