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Meiyan Zhang, Dongyang Zhao, Cailiang Sheng, Ziqiang Liu and Wenyu Cai
As we all know, target detection and tracking are of great significance for marine exploration and protection. In this paper, we propose one Convolutional-Neural-Network-based target detection method named YOLO-Softer NMS for long-strip target detection ...
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Vamsheedhar Reddy Pillareddy and Ganesh Reddy Karri
Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud computing due to its widespread applications in physics, astronomy, bioinformatic...
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Egor Shiriaev, Nikolay Kucherov, Mikhail Babenko, Vladislav Lutsenko and Safwat Al-Galda
In this paper, a study is carried out related to improving the reliability and fault tolerance of Fog Computing systems. This work is a continuation of previous studies. In the past, we have developed a method of fast operation for determining the sign o...
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Yifan Liu, Weiliang Gao, Tingting Zhao, Zhiyong Wang and Zhihua Wang
The aim of this study is to enhance the efficiency and lower the expense of detecting cracks in large-scale concrete structures. A rapid crack detection method based on deep learning is proposed. A large number of artificial samples from existing concret...
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Maro? Jakubec, Eva Lieskovská, Boris Bucko and Katarína Zábovská
Potholes pose a significant problem for road safety and infrastructure. They can cause damage to vehicles and present a risk to pedestrians and cyclists. The ability to detect potholes in real time and with a high level of accuracy, especially under diff...
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