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Advances in Computational Algorithms and Data Analysis
Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent …
Functional Observers for Dynamical Systems
The theory of linear functional observers, which is the subject of this book, is increasingly becoming a popular researched topic because of the many advantages it presents in …
Mean-Field-Type Games for Engineers
The contents of this book comprise an appropriate background to start working and doing research on mean-field-type control and game theory. To make the exposition and explanation …
Independent Metering Electro-Hydraulic Control System
This book shows an independent metering electro-hydraulic control system involving its flexible hardware layouts, complex software control, representative products and …
Biologically Inspired Series-Parallel Hybrid Robots
Biologically Inspired Series-Parallel Hybrid Robots: Design, Analysis and Control provides an extensive review of the state-of-the-art in series-parallel hybrid robots, covering …
Extreme Low-Power Mixed Signal IC Design
Design exibility and power consumption in addition to the cost, have always been the most important issues in design of integrated circuits (ICs), and are the main concerns of this …
Design, Modeling and Testing of Data Converters
This book presents the a scientific discussion of the state-of-the-art techniques and designs for modeling, testing and for the performance analysis of data converters.
Scattering of Wedges and Cones with Impedance Boundary Conditions
This book is a systematic and detailed exposition of different analytical techniques used in studying two of the canonical problems, the wave scattering by wedges or cones with …
Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, …
Model-Based Machine Learning
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the …