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Tao Xiong, Qian Sun and Jun Hu
Landslides are a common geological disaster, which cause many economic losses and casualties in the world each year. Drawing up a landslide list and monitoring their deformations is crucial to prevent landslide disasters. Interferometric synthetic apertu...
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Shengyong Xu, Yi Zhang, Wanjing Dong, Zhilong Bie, Chengli Peng and Yuan Huang
It is important to propose the correct decision for culling and replenishing seedlings in factory seedling nurseries to improve the quality of seedlings and save resources. To solve the problems of inefficiency and subjectivity of the existing traditiona...
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Tuanpeng Tu, Lian Hu, Xiwen Luo, Jie He, Pei Wang, Li Tian, Gaolong Chen, Zhongxian Man, Dawen Feng, Weirui Cen, Mingjin Li, Yuxuan Liu, Kang Hou, Le Zi, Mengdong Yue and Yuqin Li
The hard bottom layer of a paddy field has a great influence on the driving stability and the operation quality and efficiency of intelligent farm machinery. For paddy field machinery, continuous improvements in the accuracy and operation efficiency of u...
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Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, Tahir Cetin Akinci and Oguzhan Topsakal
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis. EEG is a non-invasive medical test fo...
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Imran Shafi, Muhammad Fawad Mazhar, Anum Fatima, Roberto Marcelo Alvarez, Yini Miró, Julio César Martínez Espinosa and Imran Ashraf
Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for iden...
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Hongpo Zhang, Bo Zhang, Lulu Huang, Zhaozhe Zhang and Haizhaoyang Huang
Internet of Things (IoT) devices and services provide convenience but face serious security threats. The network intrusion detection system is vital in ensuring the security of the IoT environment. In the IoT environment, we propose a novel two-stage int...
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Yu-Ting Lyu, Chia-Ming Jan, Herchang Ay, Chiu-Feng Lin, Haw-Ching Yang, Min-Chun Chuang, Heng-Sheng Lin and Tsung-Pin Hung
In the electrical discharge machining process, preliminary research has been able to effectively estimate machining accuracy in response to its long machining history and high discharge frequency characteristics. However, when processing abnormalities oc...
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Xiaolin Ou, Junjiang Zhu, Sanzhong Li, Yonggang Jia, Zhongjia Jia, Shengsheng Zhang, Shaoyu Zhang, Ruixue Chen, Xingquan Chen, Dong Ding, Huilin Xing, Yanhui Suo, Pengcheng Wang and Yongjiang Liu
We processed the raw multi-beam bathymetry data acquired in the central and northeastern part of the South China Sea by eliminating noise and abnormal water depth values caused by environmental factors, and a high resolution bathymetric map with a 20-m g...
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Yan Su, Kailiang Weng, Chuan Lin and Zeqin Chen
An accurate dam deformation prediction model is vital to a dam safety monitoring system, as it helps assess and manage dam risks. Most traditional dam deformation prediction algorithms ignore the interpretation and evaluation of variables and lack qualit...
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Xinyue Mo, Huan Li, Lei Zhang and Zongxi Qu
Air pollution is a prominent problem all over the world, seriously endangering human life. To protect the environment and human health, timely and accurate air quality evaluations are imperative. Recently, with the increasing focus on air pollution, an e...
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