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Shuai Lu, Haibo Chen and Yilong Teng
Traffic flow prediction is a crucial research area in traffic management. Accurately predicting traffic flow in each area of the city over the long term can enable city managers to make informed decisions regarding the allocation of urban transportation ...
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Ebrahim Kadivar, Mazyar Dawoodian, Yuxing Lin and Ould el Moctar
Experimental investigations were conducted to uncover the impact of cavitation control?through the use of biomimetic riblets on cavitating flows around a circular cylinder. First, the dynamics of cavitation in the flow behind a finite cylinder (without r...
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Bojan Milovanovic, Predrag Vojt, Budo Zindovic, Vladan Kuzmanovic and Ljubodrag Savic
This paper presents a methodology for estimation of hydrodynamic loads acting on the bottom and at the walls of a stilling basin of a stepped chute with converging walls, based on the pressure measurements at the selected points of a scale model. This is...
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Ryan Good, David Nguyen, Hossein Bonakdari, Andrew Binns and Bahram Gharabaghi
Predicting morphological adjustments in alluvial meandering streams remains a challenging task due to the complex nature of the governing inter-related dynamic flow and sediment transport processes. This difficulty is increased in streams with irregular ...
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Shiming Wei and Kaixuan Qiu
The extraction of shale gas from onshore and offshore shale gas reservoirs will play an important role in meeting China?s future energy needs, which will not only help alleviate the energy crisis but also contribute to climate change mitigation. As for t...
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Manigandan Paneer, Josip Ba?ic, Damir Sedlar, ?eljan Lozina, Nastia Degiuli and Chong Peng
This study investigates the impact of fluid loads on the elastic deformation and dynamic response of linear structures. A weakly coupled modal solver is presented, which involves the solution of a dynamic equation of motion with external loads. The mode ...
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Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti...
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Eduardo Morales-Vargas, Hayde Peregrina-Barreto, Rita Q. Fuentes-Aguilar, Juan Pablo Padilla-Martinez, Wendy Argelia Garcia-Suastegui and Julio C. Ramirez-San-Juan
Microvasculature analysis is an important task in the medical field due to its various applications. It has been used for the diagnosis and threat of diseases in fields such as ophthalmology, dermatology, and neurology by measuring relative blood flow or...
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Andrei Zaharia, Valentin Nedeff, Juan A. López-Ramírez, Emilian Mo?negu?u, Narcis Bârsan, Mirela Lehadus-Panaite, Jamroziak Krzysztof and Claudia Tomozei
In recent years, more and more emphasis has been placed on the use of home filtration systems as a coarse pre-filtration step. The PP (polypropylene) filter cartridge is one of the most common of these systems, with the role of retaining solid suspension...
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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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