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Luís P. N. Mendes, Ana M. C. Ricardo, Alexandre J. M. Bernardino and Rui M. L. Ferreira
We present novel velocimetry algorithms based on the hybridization of correlation-based Particle Image Velocimetry (PIV) and a combination of Lucas?Kanade and Liu?Shen optical flow (OpF) methods. An efficient Aparapi/OpenCL implementation of those method...
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Daria D. Emekeeva, Tomiris T. Kusainova, Lev I. Levitsky, Elizaveta M. Kazakova, Mark V. Ivanov, Irina P. Olkhovskaya, Mikhail L. Kuskov, Alexey N. Zhigach, Nataliya N. Glushchenko, Olga A. Bogoslovskaya and Irina A. Tarasova
Image analysis is widely applied in plant science for phenotyping and monitoring botanic and agricultural species. Although a lot of software is available, tools integrating image analysis and statistical assessment of seedling growth in large groups of ...
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Linda Karlovska, Anna Petrasova, Vaclav Petras and Martin Landa
Learning to use geographic information system (GIS) software effectively may be intimidating due to the extensive range of features it offers. The GRASS GIS software, in particular, presents additional challenges for first-time users in terms of its comp...
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Panagiotis Kalaitzis, Michael Foumelis, Christos Vasilakos, Antonios Mouratidis and Nikolaos Soulakellis
Surface motion is a complex, dynamic phenomenon that draws significant scientific attention. This study focuses on the development of a cartographic toolset for the visualization of space-borne Persistent Scatterer Interferometry (PSI) surface motion mea...
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Ali Ulvi Uzer
In recent years, the employment of artificial neural networks (ANNs) has risen in various engineering fields. ANNs have been applied to a range of geotechnical engineering problems and have shown promising outcomes. The aim of this article is to enhance ...
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Jinna Shi, Wenxiu Zhang and Yanru Zhao
In order to improve the prediction accuracy of the machine learning model for concrete fatigue life using small datasets, a group calculation and random weight dynamic time warping barycentric averaging (GRW-DBA) data augmentation method is proposed. Fir...
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Ba-Viet Ngo and Thanh-Hai Nguyen
A semi-automatic wheelchair allows disabled people to possibly control in an indoor environment with obstacles and targets. The paper proposes an EEG-based control system for the wheelchair based on a grid map designed to allow disabled people to reach a...
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Xuerui Liu, Yanqi Wu and Yisong Zhou
Axial bearing capacity is the key index of circular concrete-filled steel tubes (CCFST). A hybrid PSO-ANN model consisting of an artificial neural network (ANN) optimized with particle swarm algorithm (PSO) was proposed to reliably and accurately predict...
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Sung-Bo Kim and Hong-Lyun Park
In this study, we extracted three source wavelets of a Chirp sub-bottom profiler (SBP), which is widely used for high-resolution marine seismic exploration, using a MATLAB-based graphical user interface tool for computational processing. To extract the s...
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Ismail Alperen Özlü, Olzhas Baimakhanov, Almaz Saukhimov and Oguzhan Ceylan
This paper proposes a toolbox for simulating the effective integration of renewable energy sources into distribution systems. The toolbox uses four heuristic methods: the particle swarm optimization (PSO) method, and three recently developed methods, nam...
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