|
|
|
|
|
Geoffrey Aerts and Guy Mathys
This study investigates digitalization in the shipping industry by analyzing over 500 industry presentations from an eight-year span to discern key trends and nascent signals. Employing optical character recognition, advanced natural language processing ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jun Li, Javed Iqbal Tanoli, Miao Zhou and Filip Gurkalo
Based on an improved genetic algorithm and debris flow disaster monitoring network, this study examines the monitoring and early warning method of debris flow expansion behavior, divides the risk of debris flow disaster, and provides a scientific basis f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Na He, Xiangyang Qu, Zhiquan Yang, Linjuan Xu and Filip Gurkalo
Taking the Niumian Gully landslide?debris-flow geohazard chain as an example, we analyze the disaster mechanism of the landslide?debris-flow geohazard chain and its evolution process through field investigation as a reference for disaster prevention and ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenping Xu, Wenzhuo Li, David Proverbs and Wenbo Chen
Humanitarian supply chains play a major role in enabling disaster-affected areas to recover in a timely manner and enable economic and social activities to be restored. However, the sudden onset and increasing frequency of natural disasters such as flash...
ver más
|
|
|
|
|
|
|
|
|
|
|
A. F. M. Shahen Shah
Unmanned aerial vehicles (UAVs) are valued in 5G and 6G networks due to their communication capabilities, low cost, and flexible deployment. Recently, UAV-aided emergency networks in disasters have been designed where one single large UAV is used. Compar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ping Xiao, Ting Wang, Yu Tian, Xinmin Xie, Jinjun You, Xinru Tan and He Chen
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm?landslide?debris flow (R-L-D) disaster chain in the mountainous area of the Greater Bay Area (GBA), China, using the historical disaster data. Twelve nodes are s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Boyi Li, Adu Gong, Longfei Liu, Jing Li, Jinglin Li, Lingling Li, Xiang Pan and Zikun Chen
The Sendai Framework for Disaster Risk Reduction 2015?2030 (SFDRR) proposed seven targets comprising 38 quantified indicators and various sub-indicators to monitor the progress of disaster risk and loss reduction efforts. However, challenges persist rega...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongliang Liu, Nianxue Luo and Qiansheng Zhao
China is one of the countries most affected by typhoon disasters. It is of great significance to study the mechanism of typhoon disasters and construct a typhoon disaster chain for emergency management and disaster reduction. The evolution process of typ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bhupesh Kumar Mishra, Keshav Dahal and Zeeshan Pervez
In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) technolog...
ver más
|
|
|
|
|
|