Work

Deep Learning-Powered Computer Vision System for Selective Disassembly of Waste Printed Circuit Boards

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761364

Authors: Muhammad Mohsin, Stefano Rovetta, Francesco Masulli, Danilo Greco, Alberto Cabri

Institutions: University of Genoa, Politecnico di Milano, University of Milan

Language: English

Topic: Recycling and Waste Management Techniques

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404740191

FWCI: 13.62

Cites: 18

Cited by: 10

Related to: 10