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M. Domaneschi, R. Cucuzza, L. Sardone, S. Londoño Lopez, M. Movahedi and G. C. Marano
Random vibration analysis is a mathematical tool that offers great advantages in predicting the mechanical response of structural systems subjected to external dynamic loads whose nature is intrinsically stochastic, as in cases of sea waves, wind pressur...
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Francesco De Paola, Maurizio Giugni, Francesco Pugliese, Antonio Annis and Fernando Nardi
Nowadays, increased flood risk is recognized as one of the most significant threats in most parts of the world, with recurring severe flooding events causing significant property and human life losses. This has entailed public debates on both the apparen...
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Olena Akhiiezer, Olha Dunaievska, Mykhailo Shyshkin, Olha Butova, Anton Rohovyi
Pág. 5 - 15
The subject matter is a mathematical model describing the process of heart rhythm variability, which is based on the use of triangular models of non-stationary random processes in the Hilbert space. The goal of the research is to develop a mathematical m...
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V. V. Belyaeva
Pág. 82 - 85
The mathematical model to simulate the toxic gas dispersion inside an industrial room after accident ejections was developed. The model is based on the K-gradient transport model and equation of potential flow. The model permits to calculate the time of ...
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Andrii Lahoida,Vasyl Boryn,Georgiy Sementsov,Vasyl Sheketa
Pág. 82 - 94
This paper addresses control over flushing a well, which belongs to the class of non-stationary dynamic stochastic objects. The object evolves over time and has a large transport delay, which increases with an increase in the well's length. The current w...
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Bogdan Gusar,Vasyl Kovalyshyn,Serhii Pozdieiev,Volodymyr Kovalyshyn,Oleh Zemlianskyi,Kostiantyn Myhalenko
Pág. 46 - 53
The article addresses the relevant issue of determining the thermotechnical characteristics of the fire-extinguishing powder for thermal insulation of the fire center of materials based on magnesium alloy chips to prevent fire development and propagation...
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Iryna Huzova
Pág. 555 - 561
The drying process, which is the limiting and power-consuming stage of candied fruits production, has been considered. The heat-transfer processes during the filtration drying of pumpkin candied fruit have been investigated. The filtration drying of fini...
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Aviral Kumar Tiwari,Faridul Islam,Süleyman Bolat,Phouphet Kyophilavong,Byoungki Kim
Pág. 613 - 618
We apply the panel covariate augmented Dickey-Fuller test to test stationarity of the productivity series for the OECD and Big-7 economies. The approach takes cross-sectional dependence into account. Using hours-worked per worker, we find that the series...
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Yuqi Liu, Chao Sun and Shouda Jiang
To construct an online kernel adaptive filter in a non-stationary environment, we propose a randomized feature networks-based kernel least mean square (KLMS-RFN) algorithm. In contrast to the Gaussian kernel, which implicitly maps the input to an infinit...
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Ruhul Firdaus
Pág. 86 - 92
Resolution capability of seismic reflection data is becoming more interesting topic to discuss even for today. Several methods and approximations to attempt bandwidth extension of seismic reflection data have been proposed in wide variety. Among them is ...
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Milo? Bo?ic, Milo? Stojanovic, Zoran Stajic and Dragan Tasic
In the deregulated energy market, the accuracy of load forecasting has a significant effect on the planning and operational decision making of utility companies. Electric load is a random non-stationary process influenced by a number of factors which mak...
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O. O. Shekhvatov
Pág. 178 - 181
Rails ?are the basic constructive element of the top structure of a railway which directly perceive dynamic loading from a rolling stock. During their operation in rail metal there are the irreversible processes lowering their carrying capacity. Thus car...
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Swagat Bhattacharyya and Jennifer O. Hasler
While wireless sensor node (WSNs) have proliferated with the rise of the Internet of Things (IoT), uniformly sampled analog?digital converters (ADCs) have traditionally reigned paramount in the signal processing pipeline. The large volume of data generat...
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Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho...
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Anatolijs Borodinecs, Kristina Lebedeva, Natalja Sidenko and Aleksejs Prozuments
Evaporative cooling is widely recognized as an energy efficient and environmentally-friendly air conditioning solution, and it has drawn a lot of market interest in recent years. However, this technology is accompanied by several challenges. For instance...
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Jonatan Gomez and Andres Rivera
Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main...
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Xingkui Xu, Chunfeng Wu, Qingyu Hou and Zhigang Fan
As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models, or...
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Xingkui Xu, Chunfeng Wu, Qingyu Hou and Zhigang Fan
As an important angle sensor of the opto-electric platform, gyro output accuracy plays a vital role in the stabilization and track accuracy of the whole system. It is known that the generally used fixed-bandwidth filters, single neural network models, or...
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Wenjie Zhang, Pin Wu, Yan Peng and Dongke Liu
The prediction of roll motion in unmanned surface vehicles (USVs) is vital for marine safety and the efficiency of USV operations. However, the USV roll motion at sea is a complex time-varying nonlinear and non-stationary dynamic system, which varies wit...
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Jue Lin-Ye, Manuel García-León, Vicente Gràcia, M. Isabel Ortego, Adrian Stanica and Agustín Sánchez-Arcilla
The characterization of future wave-storms and their relationship to large-scale climate can provide useful information for environmental or urban planning at coastal areas. A hybrid methodology (process-based and statistical) was used to characterize th...
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