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[This chapter introduces the state-of-the-art in theoretical and practical applications of the digital twins components. Advances in manufacturing process modeling and prediction, smart technologies, energy harvesting, machine learning, the Internet of Things, edge and cloud computing have...
[Smart manufacturing is a vital part of the broader concept of Industry 4.0. Its foundation is the bridge between virtual and physical environments, developed on the Internet of Things (IoT) and other contemporary technologies, such as cloud systems, data analytics, and machine learning. A...
[Manufacturing high-quality products at the lowest possible cost requires an understanding of the often complex relationships between many factors. The current plethora of different materials and manufacturing processes has made it both a challenge and an opportunity to select the right...
[A piezoelectric transmission mechanism is a common way of converting vibration energy into electrical energy. Piezoelectric energy harvesters attached to a vibrating structure generate an alternating output voltage due to a dynamic strain field. Traditionally, the frequency of the first...
[The use of the cloud-trained digital twin at the edge opens up new possibilities for autonomous systems, such as novel real-time artificial intelligence applications. The edge-deployed digital twin can continually improve through self-learning, while ensuring that its cloud counterpart is...
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