Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…In order to solve the problem of input feature selection and parameter selection in BP neural network, a double-layer programming model of input feature and parameter selection is established, which is solved by XGBoost and PSO. …”
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Analysis on Nonlinear Dynamic Characteristic of Synchronous Generator Rotor System by Xiaodong Wang, Caiqin Song

“…This paper focuses on the swing oscillation process of the synchronous generator rotors in a three-machine power system. With the help of bifurcation diagram, time history, phase portrait, Poincaré section, and frequency spectrum, the complex dynamical behaviors and their evolution process are detected clearly in this power system with varying perturbation related parameters and different system parameters. …”
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Theory of bunched beam transverse Schottky signals with stationary rf system and high-order chromaticity by Kacper Lasocha, Christophe Lannoy, Nicolas Mounet, Diogo Alves

“…The derived theory is supported by macroparticle simulations and applied to typical beam and machine parameters in the Large Hadron Collider.…”
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Determining the Strength of Structural Materials by Solving Inverse Problems of Thermoelasticity by Natalia A. Guk, Yurii M. Matsevity, Volodymyr O. Povhorodnii, Mykola O. Safonov

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Proposals for the Multiparametric Design Application in Electrical Mechanical Engineering by Shevchenko V.V., Minko A.N., Stoychev V.T.

“…The peculiarity of electric machines calculation and design is the necessity of simultaneous checking of all interrelated parameters (mechanical, electromagnetic, thermal) with any changes. …”
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THE USE OF POROUS CERAMICS FOR EVAPORATIVE AND EVAPORATIVE – VAPOR –COMPRESSION SYSTEMS by Cheban D.N., Doroshenko A.V.

“…It has been determined, that combined air conditioning system is completely closed on the consumption of water at the parameters of the outside air equal to tA =32ºC and XA>13g/kg (in system with direct evaporative cooling machine), and tA=32ºC and XA>12g/kg (in system with indirect evaporative cooling machine). …”
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Dependence of Tractor Traction Properties on Agricultural Machinery Connections by G. A. Iovlev, I. I. Goldina

“…To investigate the impact of the agricultural machinery connections with the tractor on the tractor traction properties, and determine the impact of agricultural machinery weight, and grip width on the main technical and economic parameters. To analyze how geometrical parameters of tractors and agricultural machinery correlate with soil reactions under the machine support wheels as well as the front and rear wheels of the tractor. …”
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THE STOCHASTIC APPROACHES OF PROCESSES’ DESIGN IN VACUUM-PLASMA FORMATION OF NANOSTRUCTURED COATINGS by I. A. Ivanou, D. V. Valeysky, M. K. KasinskI

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Upper limb kinematic measurement using markerless motion capturing (MMC) in stroke survivors: A cross-sectional experimental study by Winnie WT Lam, Kenneth NK Fong, Chi-Wen Chien

“…Significant positive correlations were found between the results of the manual motor assessments and most of the kinematic parameters. The results of the four selected machine learning models revealed ≥0.85 sensitivity in the stroke upper limb functional level classification. …”
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Kolmogorov GAM Networks Are All You Need! by Sarah Polson, Vadim Sokolov

“…Such representations are useful in machine learning for encoding dictionaries (a.k.a. …”
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Enhancing sentiment analysis in tourism reviews: A comparative study of algorithms in ASPECT-BASED SENTIMENT ANALYSIS and EMOTION DETECTION by Viktor Handrianus Pranatawijaya, Putu Bagus Adidyana Anugrah Putra, Ressa Priskila, Novera Kristianti

“…Review data was taken from Google Maps and analyzed using BoW, LDA, NRC Emotion Lexicon, machine learning, and deep learning algorithms such as Logistic Regression (LR), Naïve Bayes (NB), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Gradient Boosting (GB), Decision Tree (DT), and BERT. …”
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A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology. by Duhita Sengupta, Sk Nishan Ali, Aditya Bhattacharya, Joy Mustafi, Asima Mukhopadhyay, Kaushik Sengupta

“…We aim to correlate the morphometric features of the nucleus along with the distribution of nuclear lamin proteins with classical machine learning to differentiate between normal and ovarian cancer tissues. …”
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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness by Mouhamadou Lamine NDAO, Genane YOUNESS, Ndèye NIANG, Gilbert SAPORTA

“…Modeling is a whole process that includes an important data preprocessing phase, with parameter selection such as time window, smoothing parameter, or rectified RUL when dealing with multivariate time series dataset. …”
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Statistical Analysis of the Effect of Viscose Air-jet Spun Yarn Process variables on the Tensile properties of Plied yarns based on Taguchi Method by Bahareh Ghalebi, Fatemeh Irannejad, Elahe Fathi, Mohsen Shanbeh

“…In this study, the effect of process parameters of 100% viscose air-jet spun yarns produced by Autoairo spinning machine on tensile properties of plied yarns were investigated. …”
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加工中心圆盘式刀库转动定位机构的设计计算 by 曹秋霞, 陈新亚

“…The design and calculation method on rotating and locating mechanism of MCV2520 miniature vertical machining center’s circular tool magazine are introduced. …”
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Slope Stability Prediction Based on Incremental Learning Bayesian Model and Literature Data Mining by Suhua Zhou, Wenjie Han, Minghua Huang, Zhiwen Xu, Jinfeng Li, Jiuchang Zhang

“…In predicting slope stability, updating datasets with new cases necessitates retraining traditional machine learning models, consuming substantial time and resources. …”
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Channel Estimation for Relay-Based M2M Two-Way Communications Using Expectation-Maximization by Xiaoyan Xu, Jianjun Wu, Chen Chen, Wenyang Guan, Haige Xiang

“…The growing popularity of machine-to-machine (M2M) communications in wireless networks is driving the need to update the corresponding receiver technology based on the characteristics of M2M. …”
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The Detection of an Inter-Turn Short-Circuit Fault in a Brushless Permanent Magnet Motor with Different Winding Configurations by Mariusz Korkosz, Jan Prokop, Karol Ryłło

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Approach to implant monitoring and data processing with digital implant lifecycle management by Berend Denkena, Marcel Wichmann, Max-Enno Eggers, Crystal Kayaro Emonde, Christof Hurschler

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Numerical analysis method of stress wave transmission attenuation of coal and rock structural plane by Wenlong SHEN, Renren ZHU, Ziqiang CHEN, Guocang SHI

“…Simultaneously, a machine learning model for the correction of Barton-Bandis intrinsic numerical simulation parameters under axial static loading and inclination differences of coal rock structural planes is obtained, which greatly improves the computational efficiency of the correlation mechanism between deformation behavior and intrinsic parameters in the impacted state of coal rock structural planes. …”
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