Electronics industry is one of the fastest evolving, innovative, and most competitive
industries. In order to meet the high consumption demands on electronics components …

Machine learning is an innovative approach that has extensive applications in prediction.
This technique needs to be applied for the COVID-19 pandemic to identify patients at high …

Industry 4.0 though launched less than a decade ago, has revolutionized the way
technologies are being used. It has found its application in almost every field of …

We report a complete deep-learning framework using a single-step object detection model
in order to quickly and accurately detect and classify the types of manufacturing defects …

Quality control is an essential process in manufacturing to make the product defect-free as
well as to meet customer needs. The automation of this process is important to maintain high …

To solve the problem of missed and false detection caused by the large number of tiny
targets and complex background textures in a printed circuit board (PCB), we propose a …

Printed Circuit boards (PCBs) are one of the most important stages in making electronic
products. A small defect in PCBs can cause significant flaws in the final product. Hence …

Abstract Modern Printed Circuit Board Assembly (PCBA) manufacturing processes require
more accurate and robust defect inspection methods. Despite the potential of deep learning …

Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and
academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent …

This paper proposes a hybrid model that combines ensemble empirical mode
decomposition (EEMD), autoregressive integrated moving average (ARIMA), and Taylor …