Work

AquaCam: An ML-Enhanced Low-Cost, Deploy-Anywhere Water Level Detection Sensor

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

DOI: 10.1109/percomworkshops65533.2025.00149

Authors: Jacob Latham, Grace Dadzie, Alfred Kalyanapu, Susmit Shannigrahi

Institution: Tennessee Technological University

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4411447166

FWCI: 3.633

Cites: 11

Cited by: 1

Related to: 10