Multi Chaos Fractal And Multi Fractional Artificial Intelligence Of Different Complex Systems
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Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems
Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems addresses different uncertain processes inherent in the complex systems, attempting to provide global and robust optimized solutions distinctively through multifarious methods, technical analyses, modeling, optimization processes, numerical simulations, case studies as well as applications including theoretical aspects of complexity. Foregrounding Multi-chaos, Fractal and Multi-fractional in the era of Artificial Intelligence (AI), the edited book deals with multi- chaos, fractal, multifractional, fractional calculus, fractional operators, quantum, wavelet, entropy-based applications, artificial intelligence, mathematics-informed and data driven processes aside from the means of modelling, and simulations for the solution of multifaceted problems characterized by nonlinearity, non-regularity and self-similarity, frequently encountered in different complex systems. The fundamental interacting components underlying complexity, complexity thinking, processes and theory along with computational processes and technologies, with machine learning as the core component of AI demonstrate the enabling of complex data to augment some critical human skills. Appealing to an interdisciplinary network of scientists and researchers to disseminate the theory and application in medicine, neurology, mathematics, physics, biology, chemistry, information theory, engineering, computer science, social sciences and other far-reaching domains, the overarching aim is to empower out-of-the-box thinking through multifarious methods, directed towards paradoxical situations, uncertain processes, chaotic, transient and nonlinear dynamics of complex systems. - Constructs and presents a multifarious approach for critical decision-making processes embodying paradoxes and uncertainty. - Includes a combination of theory and applications with regard to multi-chaos, fractal and multi-fractional as well as AI of different complex systems and many-body systems. - Provides readers with a bridge between application of advanced computational mathematical methods and AI based on comprehensive analyses and broad theories.
Global Virology V: 21st Century Vaccines and Viruses
The purpose of this fifth volume in the Global Virology series is to describe and propose vaccines, focusing primarily on viral vaccines. In addition to human vaccines, animal viral vaccines are included since animals are used in vaccine research, and the spread of diseases to, from, and among animals, birds, and humans permeates the ecosystem. Due to climatic, geographical, and social factors, there is increased global spread of viruses and other infectious agents. Contributory factors include global warming, spread of vectors, increased human travel, encroachment into animal and avian environments, war, pestilence, malnutrition, and environmental, economic, and social collapse. GVV will address vaccines for many of the viruses addressed in previous series volumes, as well as for viruses not previously covered, and novel and future vaccine technologies. Advances in vaccine effectiveness and molecular engineering approaches are included, such as gene therapy, and CRISPR technologies.
Fractional Dynamics in Natural Phenomena and Advanced Technologies
Author: Dumitru Baleanu
language: en
Publisher: Cambridge Scholars Publishing
Release Date: 2024-01-29
This book addresses different applied problems in order to demonstrate the feasibility of fractional calculus’ use, irrespective of the type of memory kernels used, to model varieties of natural phenomena and new processes emerging in advanced technologies. In this context, the book’s focus is on modelling, adequate results, and interpretations, rather than theorems and proofs. The book includes a total of 12 chapters, representing various aspects of applied fractional modelling and covering important issues in modern technologies to provide a better understanding of applications of fractional calculus in applied modelling. The book will be a versatile source of information for undergraduate and graduate students, and for scientists involved in modelling of nonlinear and hereditary phenomena.