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Contributed articles presented at the Conference.
Real Time Digital Control Applications is a compilation of papers presented at the Symposium on Real-Time Digital Control Applications, sponsored by the International Federation of Automatic Control (IFAC) and the International Federation for Information Processing (IFIP), held in Guadalajara, Mexico. The event is organized to provide developing countries with the opportunity to gain insights -- from the sharing of ideas and experiences of experts from around the world to the rapid growth and development of applications of real-time digital control systems, which is considered as the basis of industrial revolution. The book presents and discusses the various scientific, industrial, and technical applications of real-time digital control systems. Applications in power generation, water, metal processing, cement, food, and manufacturing industries are shown. The text also covers applications in robotics, biomedicine, monitoring and failure detection, fuel optimization and heat control, adaptive process control, modeling, and computer software. Industrial engineers, scientists, economists, computer scientists, robotics experts, planners, and technicians will find this book invaluable.
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Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.