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Dragan Pamucar, Nikola Kne?evic, Dragana Macura, Boban Ðorovic
Research Question: The paper explores the problem of defining the number of required employees and their skills, as well as optimizing the work time. Motivation: Motivation for this paper arises from the fact that an organizational structure of business ...
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Pablo Brusola, Sergio Garcia-Nieto, Jose Vicente Salcedo, Miguel Martinez and Robert H. Bishop
This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting p...
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Ryszard Dindorf
This article presents the conceptual design, operation principle, dynamic modeling, and simulation results of a discrete incremental hydraulic positioning system (DIHPS) intended for use in high-precision, heavy-load industrial automation solutions. An o...
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Sipho G. Thango, Georgios A. Drosopoulos, Siphesihle M. Motsa and Georgios E. Stavroulakis
A methodology to predict key aspects of the structural response of masonry walls under blast loading using artificial neural networks (ANN) is presented in this paper. The failure patterns of masonry walls due to in and out-of-plane loading are complex d...
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Stian H. Sørum, Nuno Fonseca, Michael Kent and Rui Pedro Faria
Fibre ropes offer beneficial properties for mooring of floating offshore wind turbines (FOWTs). However, the mooring line?s stiffness is both load-history and load-rate dependent. A quasi-static stiffness is observed for slow loading, with a higher stiff...
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Stefania Piazza, Mariacrocetta Sambito and Gabriele Freni
Urban looped water distribution systems are highly vulnerable to water quality issues. They could be subject to contamination events (accidental or deliberate), compromising the water quality inside them and causing damage to the users? health. An effici...
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Guoyan Xu, Yuwei Lu, Zixu Jing, Chunyan Wu and Qirui Zhang
The accuracy of dam deformation prediction is a key issue that needs to be addressed due to the many factors that influence dam deformation. In this paper, a dam deformation prediction model based on IEALL (IGWO-EEMD-ARIMA-LSTM-LSTM) is proposed for a si...
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Pietro Burrascano
Modeling the nonlinearity of a system is of primary importance both for optimizing its design and for controlling the behavior of physical systems operating with a wide dynamic range of input values, for which the linearity hypothesis may not be sufficie...
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Huihui Li, Linfeng Gou, Huacong Li and Zhidan Liu
Sensor health assessments are of great importance for accurately understanding the health of an aeroengine, supporting maintenance decisions, and ensuring flight safety. This study proposes an intelligent framework based on a physically guided neural net...
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Fabián García-Vázquez, Jesús R. Ponce-González, Héctor A. Guerrero-Osuna, Rocío Carrasco-Navarro, Luis F. Luque-Vega, Marcela E. Mata-Romero, Ma. del Rosario Martínez-Blanco, Celina Lizeth Castañeda-Miranda and Germán Díaz-Flórez
Agricultural greenhouses must accurately predict environmental factors to ensure optimal crop growth and energy management efficiency. However, the existing predictors have limitations when dealing with dynamic, non-linear, and massive temporal data. Thi...
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