A critical review of emerging technologies for flash flood prediction: examining artificial intelligence, machine learning, internet of things, cloud computing, and robotics …

G Al-Rawas, MR Nikoo, M Al-Wardy, T Etri - Water, 2024 - mdpi.com
There has been growing interest in the application of smart technologies for hazard
management. However, very limited studies have reviewed the trends of such technologies …

[PDF][PDF] An optimized system of random forest model by global harmony search with generalized opposition-based learning for forecasting TBM advance rate

Y Qiu, S Huang, DJ Armaghani… - … in Engineering & …, 2024 - cdn.techscience.cn
As massive underground projects have become popular in dense urban cities, a problem
has arisen: which model predicts the best for Tunnel Boring Machine (TBM) performance in …

Solving flood problems with deep learning technology: Research status, strategies, and future directions

H Li, M Zhu, F Li, M Skitmore - Sustainable Development, 2024 - Wiley Online Library
As a frequent and devastating natural disaster worldwide, floods are influenced by complex
factors. Building flood models for simulating, monitoring, and forecasting floods is crucial to …

Analisis Spasial Kerawanan Banjir Menggunakan Metode Spatial Multi Criteria Analysis di Desa Ciputri Jawa Barat

DR Alyudin, MDM Manessa… - … Jurnal Kajian Ilmu …, 2024 - e-journal.hamzanwadi.ac.id
Banjir merupakan fenomena yang seringkali menganggu kehidupan masyarakat. Banjir
dalam pandangan masyarakat dianggap sebagai bencana yang dikarenakan meluapnya …

A Bibliometric-Qualitative Literature Review of Flood Research Based on Deep Learning

M Zhu, H Li, F Li - … on Advancement of Construction Management and …, 2023 - Springer
Floods are a natural disaster that frequently occurs worldwide and has a high destructive
power, with complex influencing factors. Establishing flood models for monitoring …