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Shihao Ma, Jiao Wu, Zhijun Zhang and Yala Tong
Addressing the limitations, including low automation, slow recognition speed, and limited universality, of current mudslide disaster detection techniques in remote sensing imagery, this study employs deep learning methods for enhanced mudslide disaster d...
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Guodong Yan, Lin Zou and Yunan Liu
The nighttime economy (NTE) is one of the primary measures used by the Chinese government to promote urban consumption and capital flow. Especially after COVID-19, more regulations were introduced by both the central and local governments to accelerate t...
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Dong Jiang, Wenji Zhao, Yanhui Wang and Biyu Wan
Traffic congestion is a globally widespread problem that causes significant economic losses, delays, and environmental impacts. Monitoring traffic conditions and analyzing congestion factors are the first, challenging steps in optimizing traffic congesti...
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Qianlong Jin, Yu Tian, Weicong Zhan, Qiming Sang, Jiancheng Yu and Xiaohui Wang
Efficiently predicting high-resolution and accurate flow fields through networked autonomous marine vehicles (AMVs) is crucial for diverse applications. Nonetheless, a research gap exists in the seamless integration of data-driven flow modeling, real-tim...
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Mohamed Rashwan, Adel K. Mohamed, Fahad Alshehri, Sattam Almadani, Mohammed Khattab and Lamees Mohamed
The Egyptian Red Sea coast is periodically exposed to flash floods that cause severe human and economic losses. That is due to its hydro-geomorphological characteristics. Therefore, identifying flash flood hazards in these areas is critically important. ...
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Hui Li, Xueshan Bai, Xing Zhai, Jianqing Zhao, Xiaolong Zhu, Chenxi Li, Kehui Liu and Qizhi Wang
Mountain mudslides have emerged as one of the main geological dangers in the Yanshan region of China as a result of excessive rains. In light of this, a multi-step debris flow hazard assessment method combining optimal weights and a topological object me...
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Kleomenis Kalogeropoulos, Konstantinos Tsanakas, Nikolaos Stathopoulos, Demetrios E. Tsesmelis and Andreas Tsatsaris
Floods are natural hazards with negative environmental and socioeconomic impacts at a local and regional level. In addition to human lives, facilities, and infrastructure, flooding is a potential threat to archaeological sites, with all the implications ...
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Franklin Paredes-Trejo, Barlin O. Olivares, Yair Movil-Fuentes, Juan Arevalo-Groening and Alfredo Gil
Droughts impact the water cycle, ecological balance, and socio-economic development in various regions around the world. The Orinoco River Basin is a region highly susceptible to droughts. The basin supports diverse ecosystems and supplies valuable resou...
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Alejandro Cruz-Retana, Rocio Becerril-Piña, Carlos Roberto Fonseca, Miguel A. Gómez-Albores, Sandra Gaytán-Aguilar, Marivel Hernández-Téllez and Carlos Alberto Mastachi-Loza
Remote sensing plays a crucial role in modeling surface water quality parameters (WQPs), which aids spatial and temporal variation assessment. However, existing models are often developed independently, leading to uncertainty regarding their applicabilit...
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Mihai Andronie, George Lazaroiu, Mariana Iatagan, Iulian Hurloiu, Roxana ?tefanescu, Adrian Dijmarescu and Irina Dijmarescu
The objective of this systematic review was to analyze the recently published literature on the Internet of Robotic Things (IoRT) and integrate the insights it articulates on big data management algorithms, deep learning-based object detection technologi...
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