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Styliani Tassiopoulou, Georgia Koukiou and Vassilis Anastassopoulos
In the ever-evolving landscape of tomographic imaging algorithms, this literature review explores a diverse array of themes shaping the field?s progress. It encompasses foundational principles, special innovative approaches, tomographic implementation al...
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Jürgen Höher, Isabella Ostner, Anne Schraplau, Nina Sprenger, Ulrike Allers, Helen Sulprizio, Arndt Düsing, Markus Fink, Caroline Schmidt-Lucke and Oliver Tenfelde
This study evaluated the single-leg vertical hop test (SLVHT), using digital sensor technology, for the functional assessment of rehabilitation progress in patients after ACL reconstruction (ACL-R). Between January 2019 and June 2022, 143 patients (26.6 ...
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Lin Xi, Huasheng Ni, Buyun Wang, Zengchan Li and Chenghao Zhang
Research on space docking technology was first motivated by the application scenario of space station docking in the aviation field. Due to the maturity of this technology, its application field is expanding to other industries. To benefit the intelligen...
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Yaping Zhu, Qiang Zhang, Yang Liu, Yancai Hu and Sihang Zhang
A new control algorithm was designed to solve the problems of actuator physical failure, remote network attack, and sudden change in trajectory curvature when a port?s artificial intelligence-based transportation robots track transportation in a freight ...
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Sai Huang, Yuqing Chai, Shanchuan Ying, Shuo Chang and Nan Xia
With the strengths of quickness, low cost, and adaptability, unmanned aerial vehicle (UAV) communication is widely utilized in the next-generation wireless network. However, some risks and hidden dangers such as UAV ?black flight? disturbances, attacks, ...
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Muhammad Yaqub, Feng Jinchao, Shahzad Ahmed, Kaleem Arshid, Muhammad Atif Bilal, Muhammad Pervez Akhter and Muhammad Sultan Zia
Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data. In most cases, the performance of a particular model?s reconstruction must be improved by using a s...
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Jon Martinez-Carrascal, L. M. González-Gutiérrez and Javier Calderon-Sanchez
In this work, the most fundamental aspects of an aeronautical sloshing problem have been studied using an alternative and simplified model. This model consists of a single degree of freedom version of the original problem which keeps the essence of the f...
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Chunxiao Wu, Yu Lu, Shewen Liu, Zhiyuan Li, Zhuhao Gu, Wu Shao and Chuang Li
A pump-jet propulsion system is composed of rotor, stator, and duct. The stator has the front stator type and the rear stator type; the conduit also has the acceleration conduit and the deceleration conduit two forms. It is difficult to design and evalua...
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Sayumi Kaneko, Yuta Ozawa, Kumi Nakai, Yuji Saito, Taku Nonomura, Keisuke Asai and Hiroki Ura
In this study, the propagation time and attenuation rate distributions of each sound source grid point (200 × 200) to a microphone of an arbitrary position across the shear layer, which are required for beamforming, were reconstructed by the reduced-orde...
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Dongbo Shi, Lei Sun and Yonghui Xie
In this research, a two-stage deep convolutional neural network is proposed to predict the off-design performance of a S-CO2 turbine based on field reconstruction. Once the deep model is well-trained, the calculation with graphics processing unit (GPU)-a...
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