Chapter 1. Professor Valentin Afraimovich by Alexandra Afraimovich
Chapter 2.The need for more integration between machine learning and neuroscience by Adrian Hernandez, Jose M. Amigo
Chapter 3.Quasiperiodic Route to Transient Chaos in Vibroimpact System by Victor Bazhenov, Olga Pogorelova, Tatiana Postnikova
Chapter 4. Modeling Ensembles of Nonlinear Dynamic Systems in Ultrawideb and Active Wireless Direct Chaotic Networks by A.S. Dmitriev, R.Yu. Yemelyanov, M.Yu. Gerasimov, Yu.V. Andreyev
Chapter 5.Verification of Biomedical Processes with Anomalous Diffusion, Transport and Interaction of Species by Messoud Efendiev, Vitali Vougalter
Chapter6.Chaos-based communication using isochronal synchronization: considerations about the synchronization manifold byJ.M.V. Grzybowski, E.E.N. Macau, T. Yoneyama
Chapter 7.A sequential order of periodic motions in a 1-dimensional, time-delay, dynamical system by Siyuan Xing and Albert C. J. Luo Chapter 8.On the Geometric Approach to Transformations of the Coordinates of Inertial Frames of Reference by A.A. Talyshev
Chapter 9.Corpuscular models of information transfer in a random environment by V.V. Uchaikin
Chapter 10. Kinetic equation for systems with resonant captures and scatterings by A.V. Artemyev, A.I. Neishtadt, A.A. Vasiliev
Chapter 11. Solvability In The Sense Of Sequences For Some Non-Fredholm Operators In Higher Dimensions by Vitali Vougalter, Vitaly Volpert
About the Author: Dr. Dimitri Volchenkov obtained his Ph.D. in Theoretical Physics in the Saint Petersburg State University (Russia) and habilitated in the CNRS Centre de Physique Theorique (Marseille, France). He is the Associate Professor of Mathematics and Statistics at the Texas Tech University (USA) and Professor of Risk Assessment and Data Science at the Sichuan University of Science and Engineering (China). His research interests are the science of complexity and interdisciplinary physics ranging from the stochastic nonlinear dynamics, to plasma turbulence, to urban spatial networks, and their impact on poverty and environments, analysis of complex networks, data analysis of economic, inequality and politics data, big data analytics, survival analysis, and modelling of evolutionary biology and ecology.
