Adaptive and Nonadaptive Speed Estimation for Stability Improvement of Sensorless Induction Motor Control for Electric Vehicles by Lelisa Wogi, Marcin Morawiec, Tadele Ayana, Amal Baqais, Shabana Urooj

“…An approach for rotor speed estimation using machine models of multiscalar control plus the stabilizing function is used to control the IM. …”
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A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data by Yidi Wei, Qing Xu, Qing Xu, Xiaobin Yin, Xiaobin Yin, Yan Li, Yan Li, Kaiguo Fan

“…IntroductionSea surface salinity (SSS) is a critical parameter for understanding ocean circulation, marine ecosystem processes, and climate change. …”
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Comparison of ANN and XGBoost surrogate models trained on small numbers of building energy simulations. by Sanja Stevanović, Husain Dashti, Marko Milošević, Salem Al-Yakoob, Dragan Stevanović

“…Artificial neural networks (ANN), also widely accepted in building energy community, are compared to gradient-boosted tree ensembles (XGBoost), model of choice in many machine learning competitions. In order to get a better understanding of the behaviour of these two sampling methods and two machine learning models, we compare their predictions against a large set of generated synthetic data. …”
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Three modes of plasma electrolytic polishing of high-alloy austenitic steel by Kristina Navickaitė, Stefan Langenhan, Jenny Köckritz, Anastasiia Sherstneva, Klaus Nestler, Michael Penzel, Marco Wendler, Robert Szlosarek, Michael Hauser, Olena Volkova, Matthias Kröger, Henning Zeidler

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Calculation of the turning trajectory of an unmanned vehicle with front steerable wheels by Sukharev R.Yu., Belyaev K.V., Lazuta I.V.

“…To calculate the turning trajectory, a calculation scheme was drawn up, a mathematical model of the movement of the machine and theoretical studies of the influence of the main design and operational parameters of the machine on the characteristics of the turning trajectory were carried out. …”
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Assessment of Power Transformer Technical State Using Explainable Artificial Intelligence by Khalyasmaa A.I., Matrenin P.V., Eroshenko S.A.

“…Reducing the accident rate is possible by switching to the mainte-nance and repair of high-voltage equipment based on its actual technical state. Machine learning methods make it possible to assess the actual technical state of various equipment types based on an aggregated analysis of many parameters, in contrast to methods based on comparing pa-rameters with boundary values without considering their mutual influence. …”
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Perancangan Dinamometer untuk Mengukur Gaya Potong pada Mesin Freis untuk Pemesinan Material Fiber Reinforced Polymer by Firman Ridwan, Refki Harvendri

“…The amount of cutting force obtained will be needed in analyzing machining parameters to obtain a combination of machining that is efficient and profitable. …”
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Intelligent Recognition Method of Turning Tool Wear State Based on Information Fusion Technology and BP Neural Network by Yanwei Xu, Lin Gui, Tancheng Xie

“…The optimum characteristic frequency band of acoustic emission and vibration acceleration signals was extracted by the wavelet envelope decomposition method so as to recognize tool wear condition as the characteristic parameters. The characteristic information of acoustic emission and vibration acceleration signals during the process of CNC machine tool processing was fused. …”
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Optimization of controlled damages on the recognition in the master education by M. V. Bibyk, A. S. Dovbysh

“…Algorithm extreme training information DSS is approaching iterative procedure CFE global maximum information to its limit value by optimizing the parameters of DSS. The dependence of the functional efficiency of machine learning DSS’s on the control tolerances on the recognition attributes is established. …”
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LRS Bianchi Type-I String Cosmological Models in fQ Gravity by Mukesh Kumar, Manvinder Singh, Mohit Bajaj, Hossam Kotb, Djeudjo Temene Hermann

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一种组合齿轮传动系统的设计及仿真 by 樊登焕, 吴小明

“…A combined gear transmission system is designed.The transmission ratio is got according to input and output character of system,following,transmission ratio is optimized based on entrop weight,the standard parameters of transmission part are confirmed,finally,two Pro/e models are used for dynamic imitation of machine,the result shows theoretical reference for the manufacture of sample machine.…”
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Forecasting water quality indices using generalized ridge model, regularized weighted kernel ridge model, and optimized multivariate variational mode decomposition by Marjan Kordani, Mohsen Bagheritabar, Iman Ahmadianfar, Arvin Samadi-Koucheksaraee

“…This is considered a complex environmental issue to reliably forecast IWQI parameters without its appropriate time series and limited input sequences. …”
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Improved MPCC and Generalised Predictive Speed Composite Control for Permanent Magnet Synchronous Motors by LÜ Degang, ZHANG Zeran, LIU Zhanzhuo

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Feature selection for specific prediction targets at the user level in a district heating network by Samanta A. Weber, Michael Fischlschweiger, Dirk Volta, Jens Geisler

“…For this, statistical and machine learning methods are applied to engineer respective features and establish specific interdependencies, including meteorological conditions, human behavioral patterns, and operational parameters, based on a model region in northern Germany. …”
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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…The feature importance-based analysis is also performed to assess the impacts of weather parameters on machine learning performance at each selected local location. …”
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Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach by Ioannis Tselios, Pantelis Nikolakopoulos

“…Unbalance is a very common and serious fault that can cause machine downtime, unplanned maintenance, and potential damage to vital rotating machines. …”
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Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers by Kesgin Bahadır Utku, Teğin Uğur

“…Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency. …”
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Design, Manufacturing, and Comparative Analysis of a Mini Extruder for Polymer Flow Characterization: A Case Study on HDPE and PMMA Polymers by Emin Uslu, Galip Yılmaz

“…For convenience, a small-scale extrusion machine can be used to troubleshoot and analyze the polymers rather than the large manufacturing machines that are hard to work with. …”
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Mechanization of Root Crop Seed Production Technologies by Vladimir V. Mikheyev, Petr A. Eremin, Vitaliy N. Zernov, Sergey N. Petukhov

“…Its preferred design parameters have been calculated as well. A prototype machine with a universal planting unit in the form of a cellular disk has been developed and manufactured in test production. …”
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Measurement of contact pattern displacement of hypoid gears with optical thermal camera by Stefan GERDHENRICHS, Manuel OEHLER, Daniel BUSCHMANN, Robert Heinrich SCHMITT, Oliver KOCH

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