Work

Application of YOLOv11 Classification for Efficient Waste Segmentation in Australia's Recycling Facilities

Year: 2024

Type: conference-paper

Source: IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

DOI: 10.1109/agers65212.2024.10932955

Authors: Akash Das, Jarin Sayma, Amar Nath Barman, K. M. Asieb Hasan

Institution: Federation University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

OpenAlex ID: W4408860516

FWCI: 0.633

Cites: 22

Cited by: 3

Related to: 10