Work

CHAD: Charlotte Anomaly Dataset

Year: 2023

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-31435-3_4

Authors: Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Christopher Neff, Hamed Tabkhi

Institution: University of North Carolina at Charlotte

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Awards: Graduate Research Fellowship Program (GRFP), SCC: Building Safe and Secure Communities through Real-Time Edge Video Analytics

OpenAlex ID: W4367154252

FWCI: 3.778

Cites: 30

Cited by: 20

Related to: 10