Work

Deep Learning Based Mobile Platform for Predicting Passenger Congestion in Public Transportation

Year: 2024

Type: conference-paper

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10710788

Authors: Abdulkerim Kavanoz, Halil Ibrahim Kosak, Isil Karabey Aksakalli, Levent Bayindir

Institutions: Erzurum Technical University, Kocaeli Üniversitesi

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4403447356

FWCI: 1.054

Cites: 21

Cited by: 5

Related to: 10