Intelligent Manufacturing and Industrial Engineering – serie

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Theoretical Basics, Applications, and Challenges

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing

Theoretical Basics, Applications, and Challenges

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

Technology Innovation Pillars for Industry 4.0

Challenges, Improvements, and Case Studies

Technology Innovation Pillars for Industry 4.0

Challenges, Improvements, and Case Studies

AI-Driven Digital Twin and Industry 4.0

A Conceptual Framework with Applications

AI-Driven Digital Twin and Industry 4.0

A Conceptual Framework with Applications

Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation

Intelligent Manufacturing and Industry 4.0

Impact, Trends, and Opportunities

Intelligent Manufacturing

Exploring AI, Blockchain, and Smart Technologies in Industry 4.0

Internet of Things and Big Data Analytics-Based Manufacturing

Industrial Internet of Things Security

Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments

Smart Industries in the Gig Economy

Scope, Opportunities, and Challenges

Artificial Intelligence Using Federated Learning

Fundamentals, Challenges, and Applications

Transforming Industries

Capturing the Potential of IIoT and ML in the Era of Industry 5.0