|
|
|
|
|
Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa and Takuya Yoshihiro
River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological...
ver más
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
Xinqiang Chen, Chenxin Wei, Zhengang Xin, Jiansen Zhao and Jiangfeng Xian
Maritime ship detection plays a crucial role in smart ships and intelligent transportation systems. However, adverse maritime weather conditions, such as rain streak and fog, can significantly impair the performance of visual systems for maritime traffic...
ver más
|
|
|
|
|
|
|
|
|
Yulong Liu, Shuxian Liu and Juepu Chen
Accurate precipitation forecasting is of great significance to social life and economic activities. Due to the influence of various factors such as topography, climate, and altitude, the precipitation in semi-arid and arid areas shows the characteristics...
ver más
|
|
|
|
|
|
|
|
|
Mohammed Baljon and Sunil Kumar Sharma
Every farmer requires access to rainfall prediction (RP) to continue their exploration of harvest yield. The proper use of water assets, the successful collection of water, and the successful pre-growth of water construction all depend on an accurate ass...
ver más
|
|
|
|