The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variat...Lasīt vairāk
This book explores the current state of knowledge on remote sensing time series image processing and addresses all major aspects and components of time series image analysis with ample examples and applications....Lasīt vairāk
This book will provide methods to display space-time data using R. The code of each method will be detailed and commented through practical examples with real data. The second edition will discuss new interactive R packages and Add introductory sect...Lasīt vairāk
Driven by the need for high-speed electronic systems analyses, this book summarizes and reviews research in finite-difference time-domain (FDTD) cosimulation. It extends the basic theory of FDTD cosimulation to focus on techniques for time-domain fi...Lasīt vairāk
