Work

Soldering Quality Control With Semi-Supervised Deep Learning Model

Year: 2025

Type: conference-paper

Source: International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)

DOI: 10.1109/ichora65333.2025.11017057

Authors: Emre Köymen, Bahadır Gölcük, Emrah Üstün

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411204854

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