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Shadi Eltanani, Tjeerd V. olde Scheper and Helen Dawes
The application of machine learning (ML) has made an unprecedented change in the field of medicine, showing a significant potential to automate tasks and to achieve objectives that are closer to human cognitive capabilities. Human gait, in particular, is...
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Zhangliang Ding, Jianrong Zhu, Bingrui Chen and Daoyang Bao
The balance between the need of improving horizontal resolution in simulating local small-scale ocean processes and computational costs makes it desirable to refine model mesh locally. A three-dimensional, two-way nesting unstructured quadrilateral grid,...
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Ammar Mohsin Butt, Muhammad Haroon Yousaf, Fiza Murtaza, Saima Nazir, Serestina Viriri and Sergio A. Velastin
Human action recognition has gathered significant attention in recent years due to its high demand in various application domains. In this work, we propose a novel codebook generation and hybrid encoding scheme for classification of action videos. The pr...
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George A. Papakostas, John W. Nolan and Athanasios C. Mitropoulos
One of the most challenging problems that are still open in the field of materials science is the 3D reconstruction of porous media using information from a single 2D thin image of the original material. Such a reconstruction is only feasible subject to ...
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Tao Chen, Runyu Zhao and Ben-Xin Wang
This paper presents a simple metamaterial design to achieve the triple-band near-perfect absorption response that can be used in the area of sensor application. The introduced absorber consists of an array of Au strip and a bulk flat Au film separated by...
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