Tool wear is an important parameter in the machining because the production, cost and
performance is highly depend upon its performance. Therefore, the monitoring of cutting tool …

The future manufacturing system is rapidly developing owing to the advances in artificial
intelligence, the Internet-of-Things, robotics, big data, and cloud-computing technologies …

Online real-time production process monitoring is the basis for intelligent manufacturing
refinement management. This paper proposes a contactless monitoring framework with …

As defect detection in the three-dimensional printing process has been essential, especially
for fused deposition modeling (FDM), deep transfer learning is a promising technique for …

This chapter addresses the Internet of Things (IoT); from the concept and fundamental
characteristics to the advantages of machine-to-machine communications, as well as the key …

We draw on a substantial body of theoretical and empirical research on Internet of Things
smart devices, sustainable industrial big data, and artificial intelligence-based decision …

Recent advances in machine learning and computer vision brought to light technologies and
algorithms that serve as new opportunities for creating intelligent and efficient manufacturing …

Ability to detect faults in manufacturing machines have become crucial in the era of Smart
Manufacturing to enable cost savings from erratic downtimes, in an effort towards Green …

Ultra-precision machine tools are the foundation for ultra-precision manufacturing. In the era
of Industry 4.0, monitoring the machine tool's working condition is critical to control the …

Colposcopy is a test performed to detect precancerous lesions of cervical cancer. Since
cervical cancer progresses slowly, finding and treating precancerous lesions helps prevent …