Enhanced Virtual Synchronous Machine With Online Grid Impedance Estimation by Alessandro Roveri, Vincenzo Mallemaci, Fabio Mandrile, Radu Bojoi

“…In the growing context of integrating renewable sources and storage systems in the electric grid, the virtual synchronous machine (VSM) concept represents a valid solution to embed grid support functionalities in grid-tied converters. …”
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Assignment of the cutting mode when boring holes on CNC machine by Yuri Petrakov, Mariia Danylchenko

“…The use of the created program is possible in the system of automatic control of the online cutting mode when the machine is equipped with vibration sensors with appropriate systems for identifying the dynamic parameters of the machining system, which will significantly increase the machining efficiency. …”
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Effect of mass of parts on removal rate under vibroabrasive machining by V. I. Butenko, A. V. Stel'makh

“…The present work objective is to determine the effect of the mass of parts on the metal removal rate under vibroabrasive machining.Materials and Methods. An empirical, i.e., experimental, approach is used. …”
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MACHINE LEARNING FOR CONCRETE SUSTAINABILITY IMPROVEMENT: SMART FLEET MANAGEMENT by Coralia TANASUICA (ZOTIC), Mihai Daniel ROMAN

“…To achieve these objectives, the research employs unsupervised Machine Learning (ML) techniques for segmenting driving styles based on diverse parameters collected from Internet of Things (IoT) devices. …”
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Forecasting outbound student mobility: A machine learning approach. by Stephanie Yang, Hsueh-Chih Chen, Wen-Ching Chen, Cheng-Hong Yang

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A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine learning (ML) and deep learning (DL) have emerged as pivotal tools in this domain, revolutionizing data analysis and enabling automated self-configuration in optical communication systems. …”
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Design and Experiment of the Belt-Tooth Residual Film Recovery Machine by Zebin Gao, Xinlei Zhang, Jiaxi Zhang, Yichao Wang, Jinming Li, Shilong Shen, Wenhao Dong, Xiaoxuan Wang

“…To address poor film pickup, incomplete soil–film separation, and high soil content in conventional residual film recovery machines, this study designed a belt-tooth type residual film recovery machine. …”
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Pneumatic Sucker-Rod Machine for Dispersing Solid Mineral Fertilizers by V. A. Makarov, O. I. Zhuravleva, A. V. Shemyakin

“…In the world practice of introducing solid mineral fertilizers, almost 90 percents of the machines used are equipped fertilizer application is about 10 percents. …”
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Machine learning-assisted image analysis techniques for glaucoma detection by Vaibhav Yadav, Barnali Dey, Udayan Baruah, Saumya Das, Om Prakash

“…Many research experiments used traditional machine learning and deep learning techniques to detect glaucoma. …”
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Optimization of endocrine pancreas fluorescence analysis using machine methods by T. V. Ivanenko, A. V. Abramov

“…The study aims to establish the appropriate parameters of UV excitation intensity and permanent excitation time on the pancreatic islets photobleaching, the ratio of the intensity of the useful signal in the region of interest to the intensity of nonspecific background fluorescence. …”
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Forensic Genetics: A Machine Learning Algorithm for Mutation Modelling by Sofia Antão Sousa, Leonor Gusmão, Marisa Faustino, António Amorim, Nádia Pinto

“…These results support that machine learning algorithms may be used to improve mutation modelling, statistical significance depending on the available data to be used as training and test sets. …”
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Lightweight Design of a Connecting Rod Using Lattice-Structure Parameter Optimisation: A Test Case for L-PBF by Michele Amicarelli, Michele Trovato, Paolo Cicconi

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Structural Damping Analysis of a Vehicle Front Hood: Experimental Modal Parameters Extraction and Simulation Correlation by Valerian Pinzaru, Carmen Bujoreanu, Olivier Barat

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The Role of the Additive Manufacturing Process Parameters in the Shaping of the Surface Geometric Structure During Micro-Milling by Marta KRAWCZYK, Bartosz POWALKA, Marcin MATUSZAK, Sebastian FRYSKA, Dariusz GRZESIAK, Pawel FIGIEL

“…In the experiments, coated monolithic super micrograin cemented carbide micro end mills with 2 flutes were employed. The machined parts were additively made of CoCr alloy using Selective Laser Melting technology (SLM). …”
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On the minimum number of radiation field parameters to specify gas cooling and heating functions by David Robinson, Camille Avestruz, Nickolay Y. Gnedin

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Reconstruction of beam parameters and betatron radiation spectra measured with a Compton spectrometer by M. Yadav, M. H. Oruganti, B. Naranjo, S. Zhang, G. Andonian, Y. Zhuang, Ö. Apsimon, C. P. Welsch, J. B. Rosenzweig

“…With appropriate modifications, the advanced methods reproduce relevant incident beam parameters with high accuracy, even for beam sizes in the <10  μm range. …”
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Multiple patterns of EEG parameters and their role in the prediction of patients with prolonged disorders of consciousness by Hui Li, Hui Li, Hui Li, Linghui Dong, Linghui Dong, Linghui Dong, Wenlong Su, Wenlong Su, Ying Liu, Ying Liu, Zhiqing Tang, Zhiqing Tang, Xingxing Liao, Xingxing Liao, Junzi Long, Junzi Long, Xiaonian Zhang, Xinting Sun, Hao Zhang, Hao Zhang, Hao Zhang, Hao Zhang

“…Patients were followed up for 6 months. A combination of machine learning and SHapley Additive exPlanations (SHAP) were used to develop predictive model and interpret the results.ResultsThe results indicated significant abnormalities in low-frequency spectral power, microstate parameters, and amplitudes of MMN and P3a in MCS and UWS. …”
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Nonlinearity Estimation and Compensation for Accurate PMSM Modeling and Voltage Prediction by Beichen Ding, Yuting Lu, Chunyan Lai, Weiwen Peng, Kaide Huang, Guodong Feng

“…Hence, this paper investigates accurate machine modeling for control and parameter estimation. …”
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Assessing Crucial Shaking Parameters in the Mechanical Harvesting of Nut Trees: A Review by Mohsen Farajijalal, Ali Abedi, Cristian Manzo, Amir Kouravand, Mohammadmehdi Maharlooei, Arash Toudeshki, Reza Ehsani

“…Finding appropriate shaking parameters is crucial in designing effective mechanical harvesters. …”
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Research of influencing constructive parameters of an autoGrader’s operating device on its performance by Vladimir Petrovich Deniso, Ivan Ivanovich Matyash, Konstantin Viktorovich Zubarev

“…There is considered a working process of an earth-moving machine. The data on the influence of constructive parameters of the autograder’s blade on the total force of resistance to soil’s movement and pulling power is presented. …”
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