Work

Vessel Visual Surveillance Based on YOLOv8 Architecture : Daytime and Night Comparison

Year: 2024

Type: conference-paper

DOI: 10.1109/icicyta64807.2024.10913172

Authors: Khusnul Muchlisin, Reza Fuad Rachmadi, Supeno Mardi Susiki Nugroho

Institution: Institut Teknologi Sepuluh Nopember

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Ministry of Communication and Information Technology

OpenAlex ID: W4408324969

FWCI:

Cites: 11

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Related to: 10