Industry 6.0

<p>What are the means to create a paradigm shift from conventional to intelligent companies? <strong>Industry 6.0: Technology Practices Challenges and Applications</strong> shows how integrating Industry 6.0 technology with data creates a framework for that shift. The book discusses the limitations pitfalls and open research questions in Industry 6.0 as well as the most recent advances architectures frameworks applications and novel practices methods and techniques. These are vital for resolving intelligent Internet of Things issues. There is a special focus on sustainable growth humanization and environmentally friendly intelligent system applications and an emphasis on the latest innovations in intelligent systems in classical machine learning deep learning Internet of Things (IoT) Industrial Internet of Things (IIoT) blockchain knowledge representation knowledge management big data and natural language processing (NLP).</p><p><strong>Features:</strong></p><ul> <p> </p> <li>Presents the latest trends in the fields of intelligent systems machine intelligence deep learning and Industrial Internet of Things for smart environments.</li> <p> </p> <li>Discusses securing the mobile ad hoc network (MANET) by detecting the Intrusions using CSO and XGBoost model.</li> <p> </p> <li>Highlights the methods of smart things in collaborative autonomous fleets and platforms for integrating applications across different business and industry domains.</li> <p> </p> <li>Focuses on intelligent process manufacturing automation using robotics development of robotic appliances and smart manufacturing.</li> <p> </p> <li>Covers data-driven agriculture crop disease prediction drip irrigation systems pesticide and fertilizer sprinkling using the Industrial Internet of Things and water estimation systems.</li> </ul><p>With many contemporary articles from both scientists and practitioners working in many fields where intelligent systems and the IIoT can break new ground the text is assembled to aim at a readership that includes researchers statisticians practitioners scientists and developers.</p>