ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Adrianna Piszcz, Krzysztof Galas

“…Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to the use of sensors, Industrial Internet of Things (IIoT), and advanced fifth generation (5G) and sixth generation (6G) mobile networks supported by simulation and automation of processes using artificial intelligence (AI) and machine learning (ML). …”
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Solving Dynamic Traveling Salesman Problem Using Dynamic Gaussian Process Regression by Stephen M. Akandwanaho, Aderemi O. Adewumi, Ayodele A. Adebiyi

“…This paper solves the dynamic traveling salesman problem (DTSP) using dynamic Gaussian Process Regression (DGPR) method. The problem of varying correlation tour is alleviated by the nonstationary covariance function interleaved with DGPR to generate a predictive distribution for DTSP tour. …”
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Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images by Christodoss Prasanna Ranjith, Krishnamoorthy Natarajan, Sindhu Madhuri, Mahesh Thylore Ramakrishna, Chandrasekhar Rohith Bhat, Vinoth Kumar Venkatesan

“…The proposed model works as follows. Firstly, pre-processing is performed by acquiring all the input images. …”
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Efficient Reverse Skyline Processing over Sliding Windows in Wireless Sensor Networks by Jun-Ki Min

“…And, in each orthant, we compute the reverse skyline independently using two buffers. …”
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ABOUT THE PROBLEMS OF CALCULATION OF CHARACTERISTICS OF THE MELTS FLOWING PROCESSES IN CASTING M OLDS by F. S. Lukashevich, O. I. Chichko, V. F. Sobolev

“…The analysis of calculation methods of the casting moulds filling process is presented. It is shown that the main formulas for calculations of the moulds filling processes are empiric and correct for concrete technological conditions. …”
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Separation Process of Fine Coals by Ultrasonic Vibration Gas-Solid Fluidized Bed by Shuai Wang, Yaqun He, Hua Wei, Weining Xie

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Modeling the Electricity Generation Processes of a Combined Solar and Small Hydropower Plant by Mykola Dyvak, Volodymyr Manzhula, Andriy Melnyk, Nataliia Petryshyn, Tiande Pan, Arkadiusz Banasik, Piotr Pikiewicz, Wojciech M. Kempa

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Histogram Estimation for Optimal Filter Skyline Query Processing in Wireless Sensor Networks by Haixiang Wang, Jiping Zheng, Baoli Song, Yongge Wang

“…The skyline query processing technique plays an increasingly important role for multicriteria decision making applications in wireless sensor networks. …”
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Seismic Fragility Analysis of Structures Based on Adaptive Gaussian Process Regression Metamodel by Yanjie Xiao, Feng Yue, Xun'an Zhang

“…To enhance the efficiency of analyses without compromising accuracy, a metamodeling method using Gaussian process regression (GPR) and active learning (AL) for seismic fragility analysis is proposed. …”
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Autonomous defect estimation in aluminum plate and prognosis through stochastic process modeling by Mrudul Jambulkar, Shivam Ojha, Amit Shelke, Anowarul Habib

“…Traditional supervised machine learning (ML) techniques often face limitations due to dependency on large datasets, risk of overfitting, and high computational costs. To overcome these challenges, this study proposes an unsupervised learning framework that combines k-means clustering with a multi-phase gamma process to detect and model damage in aluminum plates. …”
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Hand Gesture Recognition on Edge Devices: Sensor Technologies, Algorithms, and Processing Hardware by Elfi Fertl, Encarnación Castillo, Georg Stettinger, Manuel P. Cuéllar, Diego P. Morales

“…Hand gesture recognition (HGR) is a convenient and natural form of human–computer interaction. It is suitable for various applications. …”
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Parametrization of the attainable set for a nonlinear control model of a biochemical process by Ellina Grigorieva, Evgenii Khailov, Andrei Korobeinikov

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Modern transcriptome data processing algorithms: a review of methods and results of approbation by M. V. Sprindzuk, L. P. Titov, A. P. Konchits, L. V. Mozharovskaya

“…Analysis of bioinformatics data is an actual problem in modern computational biology and applied mathematics. With the development of biotechnology and tools for obtaining and processing such information, unresolved issues of the development and application of new algorithms and software have emerged.Authors propose practical algorithms and methods for processing transcriptomic data for efficient results of annotation, visualization and interpretation of bioinformatics data.…”
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New methods and algorithms of the multifunctional optimization for CAE-system of some technological processes by O. I. Chichko

“…There are offered the models and algorithms for solution of the technological tasks, connected with optimization of the melts stream processes in gating systems and also for optimization of the process of the industrial details thermal treatment. …”
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Evolution of the bibliographic activity in the process of information resources generation in SPSTL SB RAS by T. V. Busygina, O. L. Lavrik, L. A. Mandrinina, V. V. Rykova

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Integration of Convolutional Neural Network and Image Processing for Pulp Fibril Detection and Measurement by Tanachot Chirakitsakul, Pakaket Wattuya, Phichit Somboon, Panthira Jansakra, Chakrit Watcharopas

“…This study proposes a novel method that integrates deep learning with image processing techniques to automate fibril detection and fibrillation index computation. …”
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Lightweight Gaussian Process-Based Visual Servoing for Autonomous Wheelchair Sidewalk Navigation by A. H. Abdul Hafez, Ismail Haj Osman, Efgan Ugur, Tolgay Kara

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Photon–photon chemical thermodynamics of frequency conversion processes in highly multimode systems by Huizhong Ren, Georgios G. Pyrialakos, Qi Zhong, Fan O. Wu, Mercedeh Khajavikhan, Demetrios N. Christodoulides

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THE INFLUENCE OF HARDWARE AND TECHNOLOGICAL FACTORS ON THE PROCESS OF SHRINKAGE DURING COOLING OF BAKERY PRODUCTS by Victor Alexandrovich Balyubash, Artyom Sergeevich Pastukhov, Sergey Evgenevich Alyoshichev, Evgenia Alexandrovna Travina

“…The calculations carried out using the previously developed by authors computer system have shown that conducting the cooling process taking into account, the thermophysical properties of the cooled products makes it possible to increase energy efficiency and increase the efficiency of the cooling process by 30%.…”
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Exergy Assessment and Exergetic Resilience of the Large-Scale Gas Oil Hydrocracking Process by Luisa José Acosta-Esalas, Ángel Darío González-Delgado

“…In order to assess its efficiency, an exergy analysis of a conventional hydrocracking unit was carried out using Computer Aided Process Engineering (CAPE) tools. After simulations, the physical and chemical exergies of the input and output streams were calculated, which showed a remarkable energy efficiency of 98.76%, attributable to the high exergy content of the products obtained (171,243,917.70 MJ/h) compared to the residues generated (1,065,290.8 MJ/h). …”
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