This book focuses on industrial development, design, implementation, and transformation using technologies such as Artificial Intelligence, Machine Learning, the Internet of Things (IoT), Big Data Analysis, and Blockchain. It incorporates complex processes, functions, and various other elements as one central component of digital systems.
Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems discusses the industry transformation aligned with the computerization of manufacturing and the required skills needed to build a new workforce. This book covers the role that AI plays in the management of resource flow and decision-making in the transformation of operations, as well as supply chain management. It presents sustainability and efficiency with IoT, Machine Learning, Data Analysis, and Blockchain technologies as it focuses on industrial development, design, and implementation. This book showcases the incorporation of complex processes and functions as one central component of digital systems and explores current trends that are working to accelerate industrial transformation. Case studies are also included, depicting the technologies that are influencing the transition into the fourth Industrial Revolution, such as industrial infrastructure, biodiversity, and enhanced productivity.
This book is aimed at researchers, scholars, and students that require real-time knowledge and applications where the transformation and implementation of digital systems in the manufacturing sector are needed.
Inhaltsverzeichnis
1. Computational Intelligence for Automation of Industrial Processes.
2. Machine Learning Applications for Additive Manufacturing: State-of-the-Art and Future Perspectives.
3. Implementation of Total Productive Maintenance (TPM) in the Manufacturing Industry for Improving Production
Effectiveness.
4. Application of AI in Smart Cities.
5. Effect of Sustainable Energy Sources for Load Frequency Control (LFC) of Single-Area Wind Power Systems.
6. AI Technology in Networks-on-Chip.
7. Modeling, Analysis, and Simulation of Hydrogen Leakage Jet in the Air.
8. Multi-Objective Interval Assignment Problems and their Solutions using Genetic Algorithms
9. Evolutionary Approaches in Engineering Applications.
10. Quality Prediction in Vertical Centrifugal Casting Using Criterion Function.
11. On Type D Fuzzy Cellular Automata-Based MapReduce Model in Industry 4.0.
12. Fine-Grained Feature Classification of Objects by Learning-Based Feature Selection Using Region-Proposal Convolutional Neural Networks.
13. An Embedded Implementation of a Traffic Light Detection System for Advanced Driver Assistance Systems.
14. CO2 Emissions, Financial Development, and Renewable Energy Consumption (REC): A Metadata Analysis.
15. A Machine Learning Approach for Translating Weather Information into Actionable Advisory for Farmers.
16. Modeling of Fast Charging Electric Vehicles Using Different Controllers.
17. Joining of AA7075/SiC Composite Using Friction Stir Welding (FSW).
18. Generation Scheduling of Solar-Wind-Hydro-Thermal Power System with Pumped Hydro Energy Storage
using Squirrel Search Algorithm (SSA).
