Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing.
This book presents theory and latest application work in Bond Graph methodology with a focus on:* Hybrid dynamical system models,* Model-based fault diagnosis, model-based fault tolerant control, fault prognosis* and also addresses* Open thermodynamic systems with compressible fluid flow,* Distributed parameter models of mechanical subsystems.
Time-delays are fundamental to understand phenomena in control applications as networked systems, traffic management, control of vibrations, and supply chains.
Methodological Guidelines for Modeling and Developing MAS-Based SimulationsThe intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades.
As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization.
SIMATIC is the worldwide established automation system for implementing industrial control systems for machines, manufacturing plants and industrial processes.
This book bridges principles and real-world applications, while also providing thorough theory and technology for the development of artificial intelligence and robots.
Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS.
This book offers an overview of power electronic applications in the study of power integrated circuit (IC) design, collecting novel research ideas and insights into fast transient response to prevent the output voltage from dropping significantly at the undershoot.
This textbook covers the fundamental theories of signals and systems analysis, while incorporating recent developments from integrated circuits technology into its examples.
Als Standardwerk beschreibt das Große Handbuch der Gleisinstandhaltung in anschaulicher und komprimierter Form alle Aspekte der Gleisinstandhaltung in Theorie und Praxis.
This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge.
An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems.
This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis.
This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS).
This book discusses efforts to control the low-frequency vibration transmission of typical power equipment and pipeline systems of ships, exploring the use of active and passive hybrid vibration isolation and adjustable dynamic vibration absorption technologies.
Die Mikrocontroller ATtiny2313, ATtiny26 und ATmega32 von Atmel sind im Unterricht und in der Praxis für ihre vielseitigen Anwendungen und einfache Programmierbarkeit bekannt.
This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on technologies transforming health in Latin America.
An autonomous sailboat robot is a boat that only uses the wind on its sail as propelling force, without remote control or human assistance to achieve its mission.
Within a unified switched-control framework, this book investigates the high-performance control designs and theoretic analyses for teleoperation systems, including the joint space and task space teleoperations, the homogeneous and heterogeneous teleoperations, and the single-master single-slave and multi-master multi-slave teleoperations.
Data science and machine learning (ML) methods are increasingly being used to transform the way research is being conducted in materials science to enable new discoveries and design new materials.
This monograph, which is the first book focusing on "e;Digital Oil & Gas Pipeline"e;, introduces the author's long-term research and practice on this topic.
Intelligent autonomous systems are increasingly being applied in various fields, ranging from industrial applications to professional services and household domains.
Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications.
This Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this concept for the publication of real-time statistics based on sensitive data.