Simulation study on impact characteristics of RF microsystem based on bulk silicon MEMS process by Feng Zhengsen, Wang Lu, Zeng Yanping, Yang Bing, Qi Dong, Wang Zhihui, Zhang Rui

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Effective least squares approximation method for estimating the rhythm function of cyclic random process by Serhii Lupenko, Małgorzata Wiatr, Andrzej Metelski

“…Abstract The work is devoted to a problem of the rhythm function estimation of a cyclic random process, which is based on the least squares approximation methods instead of well-known interpolation approach. …”
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Extraction of magnesium and heavy non-ferrous metals from the tailings of the Kentau Processing Plant by Karatayeva Gulnara, Shevko Victor, Bitanova Gulvira, Polatova Karlygash

“…The article presents the results of studies using computer thermodynamic modeling for the extraction of magnesium and heavy non-ferrous metals into the gas phase from the tailings of the Kentau processing plant using the HSC-5.11 Chemistry software package. …”
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Signal Processing in Passive Radar Systems Using 5G: A Simulation Study by Van Tuan Nguyen, V. M. Kutuzov, E. N. Vorobev

“…The calculation of the cross-ambiguity function of the passive radar using the 5G signal was carried out by computer simulation.Results. The conducted simulation of the signal processing process in different scenarios found that passive radar using a 5G signal is capable of detecting targets with good resolution in terms of both range and velocity.Conclusion. …”
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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…This study aims to classify and automate the detection of sleep spindles from raw physiological signals using computational methods and AI. While global efforts are underway to accurately detect sleep spindles using AI, most involve classical signal processing techniques like wavelet transforms and STFT. …”
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Study of Ignition Process in an Aero Engine Combustor Based on Droplet Evaporation Characteristics Analyses by Lei Sun, Rui Feng, Fangliang Wang, Xiwei Wang

“…To study the coupling mechanism between droplet evaporation characteristics and flame propagation, in this paper, the ignition process in a single dome lean direct injection combustor is simulated by the Large Eddy Simulation (LES) method. …”
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ResNet-based image processing approach for precise detection of cracks in photovoltaic panels by Montaser Abdelsattar, Ahmed AbdelMoety, Ahmed Emad-Eldeen

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Research on Fine-Tuning Optimization Strategies for Large Language Models in Tabular Data Processing by Xiaoyong Zhao, Xingxin Leng, Lei Wang, Ningning Wang

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Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

“…The design of vertically stacked n-type and p-type nanosheet FETs (NSFETs) was applied using a dynamic surrogate optimization-gaussian process regression (DSO-GPR) with batch assessment and halting conditions. …”
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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD by Olga Solovei

“…The goal of the work is to increase the efficiency of feature selection by Filter with CFS by proposing a new organization process of feature selection. The tasks which are solved in the article: review and analysis of the existing organization process of feature selections by Filter with CFS; identify the routs cause the performance degradation; propose a new approach; evaluate the proposed approach. …”
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Features of Extended Reality Environments in Semiconductor Fabrication Process Education: A Scoping Review by Dennis R. Parnell, Atayliya N. Irving, Connor S. Smith, Amy G. Buhler, Jeremy A. Magruder Waisome

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Creation of experimental-statistical and kinetic models of the coumarone-indene-carbazole resin production process by Serhiy Pyshyev, Yuriy Prysiazhnyi, Halyna Bilushchak, Bohdan Korchak, Iryna Pochapska, Oleg Yavorskyi

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Optimization of Processing Parameters for Lettuce Vacuum Osmotic Dehydration Using Response Surface Methodology by Yuan Yuejin, Tan Libin, Xu Yingying, Dong Jixian, Zhao Yu, Yuan Yueding

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Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning by Jie Wu, Rui Xu, Runhui Huang, Xuezhi Hong

“…A data-efficient training method, namely Q-AL-GPR, is proposed for visible light positioning (VLP) systems with Gaussian process regression (GPR). The proposed method employs the methodology of active learning (AL) to progressively update the effective training dataset with data of low similarity to the existing one. …”
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An evolutionary analysis of antigen processing and presentation across different timescales reveals pervasive selection. by Diego Forni, Rachele Cagliani, Claudia Tresoldi, Uberto Pozzoli, Luca De Gioia, Giulia Filippi, Stefania Riva, Giorgia Menozzi, Marta Colleoni, Mara Biasin, Sergio Lo Caputo, Francesco Mazzotta, Giacomo P Comi, Nereo Bresolin, Mario Clerici, Manuela Sironi

“…The antigenic repertoire presented by MHC molecules is generated by the antigen processing and presentation (APP) pathway. We analyzed the evolutionary history of 45 genes involved in APP at the inter- and intra-species level. …”
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Simulation study of top coal caving and conveying process based on smoothed particle hydrodynamics by LIU Bo, ZHANG Qiang, LIU Yang, DONG Xiangwei

“…However, the conveying process of scraper conveyors is typically neglected in these simulations. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

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Thermophysical Modeling of the Vaporization Process in a Motive Nozzle with a Profiled Supersonic Part by Serhii Sharapov, Danylo Husiev, Volodymyr Klymenko, Ivan Pavlenko, Dobrochna Ginter-Kramarczyk, Andżelika Krupińska, Marek Ochowiak, Sylwia Włodarczak

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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

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Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies by Ranbhor R

“…Although scaling issues remain, the combination of process innovation and computer technologies points to a revolutionary future for mAb production.Keywords: biosimilar, biomanufacturing, process optimization, continuous processing, cost reduction, machine learning, advanced analytics…”
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