Student Handbook for Discrete Mathematics with Ducks is a Student Reference, Review, Supplemental Learning, and Example Handbook (SRRSLEH) that mirrors the content of the author's popular textbook Discrete Mathematics with Ducks (DMwD).
Technologies such as artificial intelligence have led to significant advances in science and medicine, but have also facilitated new forms of repression, policing and surveillance.
This book contains papers presented during the 10th Asian Conference on Multibody Systems (ACMD) and 6th Joint International Conference on Multibody System Dynamics (IMSD).
Continuing in the bestselling, informative tradition of the first edition, the Handbook of Combinatorial Designs, Second Edition remains the only resource to contain all of the most important results and tables in the field of combinatorial design.
This book is designed to explain the fundamental principles of automatic control through 20 lessons, each incorporating worked examples and MATLAB(R)-based exercises to help readers effectively understand and apply the proposed methods.
This book contains the original peer-reviewed research papers presented at the 6th China Aeronautical Science and Technology Conference held in Wuzhen, Zhejiang Province, China, in September 2023.
This book introduces the concepts at the basis of dynamic measuring systems: vocabulary, modelling, calibration, measurement data analysis, uncertainty evaluation.
This reference text addresses the importance of smart crop management for increasing yield and presents a framework for smart monitoring and regulation of crop observation.
A comprehensive guide to formation control of multi-agent systems using rigid graph theory This book is the first to provide a comprehensive and unified treatment of the subject of graph rigidity-based formation control of multi-agent systems.
Process Improvement and CMMI for Systems and Software provides a workable approach for achieving cost-effective process improvements for systems and software.
Wheeled Mobile Robotics: From Fundamentals Towards Autonomous Systemscovers the main topics from the wide area of mobile robotics, explaining all applied theory and application.
The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications.
Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains.
Rotating Machinery, Hybrid Testing, Vibro-Acoustics & Laser Vibrometry, Volume 8: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the eighth volume of ten from the Conference brings together contributions to this important area of research and engineering.
The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms.
This book provides state-of-the-art scientific and engineering research findings and developments in the area of mobile robotics and associated support technologies.
The book explores the available omics resources, the integration of multi-omics data, and systems biology methods, focusing on their applications in cereals breeding and research.
This book focuses on the systematic modeling of complex situations characterized by escalating disruptions, and on cycles of dynamic collaboration for the best handling of disruptions.
This monograph explores the synchronization of large-scale, multi-agent dynamical systems in the presence of disturbances, delays, and time-varying networks.
Die vierte Auflage dieses gut eingführten Buches präsentiert eine breite Übersicht über statische, dynamische und stochastische Verfahren der Optimierungstheorie.
Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa- tion, such as tracking errors and control input signals, into the construction of the present control action.
Artificial Intelligence and Causal Inference address the recent development of relationships between artificial intelligence (AI) and causal inference.