Work

Urban Pluvial Flood Prediction Using Machine Learning Models

Year: 2024

Type: conference-paper

DOI: 10.1109/iconics64289.2024.10824627

Authors: Waseemullah, Tahir Hassan, Sajid Majeed, Muhammad Qasim Memon

Institutions: NED University of Engineering and Technology, Institute of Space Technology

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406260901

FWCI: 5.187

Cites: 15

Cited by: 3

Related to: 10