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Creating Smart and Safe Manufacturing Environments: The role of innovation and safety management is a comprehensive volume that bridges engineering, data science, occupational safety, and industrial automation to provide a structured blueprint for transforming conventional production systems into intelligent, resilient, and human-centric manufacturing ecosystems.

Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with electrodes placed along the scalp, requires relatively simple and inexpensive equipment, and is easier to use than other methods.

In an era defined by unprecedented environmental challenges, social inequalities, and corporate responsibility, the concept of Environmental, Social, and Governance (ESG) has emerged as a transformative force. It is a set of practices used to evaluate the operational performance of a company or industry sector as it relates to social and environmental impact.

Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs.

We are on the brink of another industrial transformation - one that builds upon the digital foundations of Industry 4.0 and reaches new heights with the emergence of Industry 5.0. Unlike its predecessor, which focused heavily on automation, cyber-physical systems, and the Internet of Things, Industry 5.0 shifts the paradigm toward human-centered solutions, blending the power of cutting-edge technologies with human creativity, expertise, and ethical considerations. This evolution is not merely technological; it is social and economic, reshaping how we live, work, and interact with our environment.

Industry 6.0 is an emerging vision for industrialisation that builds upon previous industrial revolutions by integrating human intelligence with advanced technologies. The concept is characterised by the fusion of biological intelligence with cyber-physical systems to create self-regulating, emotionally aware, and evolution-capable machinery. Transformative technologies are already beginning to enable this shift, from digital twins, to advances in artificial intelligence, to the new generation of communications technologies including 6G and terahertz wireless networks.

The evolution of medical equipment engineering is progressing rapidly, with advances in digital healthcare technologies such as artificial intelligence, virtual/augmented reality, 3D-printing, robotics and nanotechnologies developing at pace. Medical equipment engineering can assist in surveying workplace inefficiencies, and develop efficient optimisation processes, through data research and intelligent learning automation. This edited book covers the benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation.

Industry 4.0 refers to automation and data exchange in manufacturing technologies. From innovative research, challenges, solutions and strategies to real-world case studies, the aim of this edited book is to focus on the nine pillars of technology that are supporting the transition to Industry 4.0 and smart manufacturing. The nine pillars include the internet of things, cloud computing, autonomous and robotics systems, big data analytics, augmented reality, cyber security, simulation, system integration, and additive manufacturing. A key role is played by the industrial IoTs and state-of-the-art technologies such as fog and edge computing, advanced data analytics, innovative data exchange models, artificial intelligence, machine learning, mobile and network technologies, robotics and sensors.