Moez Krichen – författare

This book offers an overview of the recent disruptives technologies and their application in the new Society 5.0 for better human life. The content provides researchers by new trends in blockchain, IA, and big data applied to several fields related to smart cities and Society 5.0 such as health care, education, finance, mobility, logistics, and quality of life. It is an opportunity for researchers and practitioners to present and discuss their most recent research results, innovations, experiences, concerns, challenges, and trends about the application of disruptive technologies applied to Society 5.0. The aim of the book is to focus on how disruptive technologies can change the way we perform and how it creates more opportunities with a special focus on AI, blockchain, big data, etc.

The idea behind this book is to focus on solutions based on disruptive technologies that can face the challenges of the developing countries. We will shed the light on different sectorssuch as education, agriculture, industry, transportation, environment, energy, health care, etc. We will discuss the challenges that the emerging countries face in these sectors and provide disruptive technologies based solutions to them. This book also introduces success stories of disruptive technologies-based solutions and their impact on the lives of people in developing countries.

This book contains a comprehensive collection of chapters on recent and original research, along with review articles, on mathematical modeling of dynamical systems described by various types of differential equations. Structured into 18 chapters dedicated to exploring different aspects of differential equations and their applications in modeling both discrete and continuous systems, it highlights theoretical advancements in mathematics and their practical applications in modeling dynamic systems. Readers will find contributions by renowned scholars who delve into the intricacies of nonlinear dynamics, stochastic processes, and partial differential equations. This book is an essential resource for researchers, academicians, and practitioners in the field of mathematical modeling.