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.
Preface
Chapter 1 : Computational Intelligence for Automation of Industrial Processes Chapter 2 : Machine Learning Applications for Additive Manufacturing : State-of-the-Art and Future Perspectives Chapter 3 : Implementation of Total Productive Maintenance (TPM) in the Manufacturing Industry for Improving Production Effectiveness Chapter 4 : Application of AI in Smart Cities Chapter 5 : Effect of Sustainable Energy Sources for Load Frequency Control (LFC) of Single-Area Wind Power Systems Chapter 6 : AI Technology in Networks-on-Chip Chapter 7 : Modeling, Analysis, and Simulation of Hydrogen Leakage Jet in the Air Chapter 8 : Multi-Objective Interval Assignment Problems and their Solutions using Genetic Algorithms Chapter 9 : Evolutionary Approaches in Engineering Applications Chapter 10 : Quality Prediction in Vertical Centrifugal Casting Using Criterion Function Chapter 11 : On Type D Fuzzy Cellular Automata-Based MapReduce Model in Industry 4.0 Chapter 12 : Fine-Grained Feature Classification of Objects by Learning-Based Feature Selection Using Region-Proposal Convolutional Neural Networks Chapter 13 : An Embedded Implementation of a Traffic Light Detection System for Advanced Driver Assistance Systems Chapter 14 : CO2 Emissions, Financial Development, and Renewable Energy Consumption (REC) : A Metadata Analysis Chapter 15 : A Machine Learning Approach for Translating Weather Information into Actionable Advisory for Farmers Chapter 16 : Modeling of Fast Charging Electric Vehicles Using Different Controllers Chapter 17 : Joining of AA7075/SiC Composite Using Friction Stir Welding (FSW) Chapter 18 : Generation Scheduling of Solar-Wind-Hydro-Thermal Power System with Pumped Hydro Energy Storage using Squirrel Search Algorithm (SSA)
