Work

Visual Diagnostics: Deep Learning with DenseNet121 for Identifying Faults in Solar Panels

Year: 2024

Type: conference-paper

Source: International Conference on Information and Communication Technology Convergence (ICTC)

DOI: 10.1109/ictc62082.2024.10827292

Authors: Salaki Reynaldo Joshua, Sanguk Park, Kihyeon Kwon

Institution: Kangwon National University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

OpenAlex ID: W4406356963

FWCI: 0.723

Cites: 44

Cited by: 1

Related to: 10