Ai Driven Smart Industrial Technologies
Download Ai Driven Smart Industrial Technologies PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Driven Smart Industrial Technologies book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
AI-Driven Smart Industrial Technologies
Industries are being revolutionized though smart connectivity, connecting machines and computers to enhance automation, safety, and efficiency. Through the adoption of smart industrial technologies, industries are progressing towards greater sustainability. The trends in artificial intelligence (AI)-driven technologies point to global advances in quality and productivity. However, challenges still exist in strengthening the collaboration between humans and machines for Industry 5.0, including enhancing human augmentation while still prioritizing employee well-being. AI-Driven Smart Industrial Technologies examines the intersection of advanced technologies and sustainable practices in modern industries in different domains. It provides a distinct perspective on integrating AI, robotics, mechatronics, and Industries 4.0 and 5.0 principles, highlighting their collective impact on creating greener, more efficient, and smarter industrial processes. Covering topics such as 3D printing, human-machine collaboration, and cyber-physical systems, this book is an excellent resource for manufacturers, automation professionals, policymakers, technologists, engineers, computer scientists, environmental scientists, professionals, researchers, scholars, academicians, and more.
Digital Twin Driven Smart Manufacturing
Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process.The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing?This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. - Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things - Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version - Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin
Recent Trends in Artificial Intelligence Towards a Smart World
This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic. Recognizing that AI is revolutionizing industries with its applications and helping us solve complex problems with ease, the book tackles a variety of industries and sectors such as agriculture, logistics, infrastructure, manufacturing, education, disaster management, transport, surveillance, and more. Contributions included in the book are useful for students, engineers (disciplines like telecommunication, mechanical and computer science, etc.), teachers, people studying and working for strategic, tactical and operational management. It is also useful for data scientists and anyone else who wants to have an insight into the impact of artificial intelligence on various industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for government personnel who are working towards system upgradation for managing dynamic traffic demands.