ARTIFICIAL INTELLIGENCE AND GEOSPATIAL ANALYSIS IN DISASTER MANAGEMENT

13 citations as recorded by crossref.

1. Analytical mapping on trends of information technology in hydrometeorological disasters research M. Kaur et al. 10.1080/10106049.2022.2087006
2. A Comprehensive Review of Remote Sensing Technologies for Improved Geological Disaster Management S. Kumari et al. 10.1002/gj.5072
3. Environmental Impact Assessment for Spatial Data Analysis in Disaster Management Using Machine Learning Multi-Criteria Resources K. Ashifa et al. 10.1007/s41976-024-00115-1
4. The Synergy of Artificial Intelligence (AI) and Geographic Information Systems (GIS) for Enhanced Disaster Management: Opportunities and Challenges P. Emami & A. Marzban 10.1017/dmp.2023.174
5. Spatial prediction of flood-prone areas using geographically weighted regression J. Lin & L. Billa 10.1016/j.envadv.2021.100118
6. Autonomous Unmanned Aerial Vehicles in Bushfire Management: Challenges and Opportunities S. Partheepan et al. 10.3390/drones7010047
7. ICT in disaster management context: a descriptive and critical review M. Kaur et al. 10.1007/s11356-022-21475-5
8. Untapped Location Discovery on Social Media by Combining Geospatial Clustering with Natural Language Processing S. Mehta et al. 10.1142/S0219649224500254
9. A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies J. Bittencourt et al. 10.1016/j.scs.2024.105477
10. Leveraging artificial intelligence in disaster management: A comprehensive bibliometric review A. Wibowo et al. 10.4102/jamba.v17i1.1776
11. Blockchain Oriented Effective Charity Process During Pandemics and Emergencies M. Kaur et al. 10.1109/TCSS.2022.3232325
12. Remote Sensing Methods for Flood Prediction: A Review H. Munawar et al. 10.3390/s22030960
13. VERGİ DENETİMLERİNDE YAPAY ZEKÂ KULLANIMI VE OTONOM VERGİ DENETİMİ PERSPEKTİFİ A. Ömercioğlu 10.47136/asbuhfd.1572297