Smart manufacturing has attracted significant attention from both researchers and
manufacturing experts owing to its capability of accomplish the goals of Industry 4.0. It …

With the high demand and sub-nanometer design for integrated circuits, surface defect
complexity and frequency for semiconductor wafers have increased; subsequently …

As construction projects increase in complexity, there are growing challenges with
conventional monitoring methods in terms of efficiency, safety, and competitiveness …

Printed circuit boards (PCBs) are extensively used to assemble electronic equipment.
Currently, PCBs are an integral part of almost all electronic products. However, various …

During the manufacturing process of printed circuit boards (PCBs), quality defects can occur,
which can affect the performance and reliability of PCBs. Existing deep learning-based PCB …

Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

The progress of science and technology speeds up the upgrading of electrical and
electronic equipment, resulting in the generation of electronic waste (e-waste). Electronic …

Featured Application An improved YOLOv4 algorithm for PCB surface defect detection can
achieve higher detection accuracy and faster detection speed with lower memory …

Quality control methods and techniques have been investigated in different fields of
manufacturing during the last decades. The introduction of robots in manufacturing …

El sector de la manufactura utiliza metodologías de aprendizaje automático supervisado
que permiten mejorar procesos de inspección mediante la visión artificial. La inspección …