Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Examines the application of Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence for a wide variety of complex modeling systems

Yeliz Karaca (Edited by), Dumitru Baleanu (Edited by), Yu-Dong Zhang (Edited by), Osvaldo Gervasi (Edited by), Majaz Moonis (Edited by)

9780323900324, Elsevier Science

Paperback / softback, published 23 June 2022

350 pages, 70 illustrations (20 in full color)
23.5 x 19 x 2.3 cm, 0.45 kg

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.

1. Introduction
Yeliz Karaca and Dumitru Baleanu
2. Theory of Complexity, Origin and Complex Systems
Yeliz Karaca
3. Multi-chaos, Fractal and Multi-fractional AI in Different Complex Systems
Yeliz Karaca
4. High Performance Computing and Computational Intelligence Applications with Multi-Chaos Perspective
Osvaldo Gervasi, Damiano Perri, Marco Simonetti, and Sergio Tasso
5. Human Hypercomplexity: Error and Unpredictability in Complex Multi-Chaotic Social Systems
Piero Dominici Sr.
6. Multifractal Complexity Analysis-based Dynamic Media Text Categorization Models by Natural Language Processing with BERT
Yeliz Karaca, Yu-Dong Zhang, Ahu Dereli Dursun, and Shui-Hua Wang
7. Mittag-Leffler Functions with Heavy-tailed Distributions’ Algorithm based on Different Biology Datasets to be Fit for Optimum Mathematical Models’ Strategies
Dumitru Baleanu and Yeliz Karaca
8. Artificial Neural Network Modeling of Systems Biology Datasets Fit Based on Mittag-Leffler Functions with Heavy-tailed Distributions for Diagnostic and Predictive Precision Medicine
Yeliz Karaca and Dumitru Baleanu
9. Computational Fractional-Order Calculus and Classical Calculus AI for Comparative Differentiability Prediction Analyses of Complex-systems-grounded Paradigm
Yeliz Karaca and Dumitru Baleanu
10. Pattern Formation Induced by Fractional-order Diffusive Model of COVID-19
Yeliz Karaca and Naveed Iqbal
11. Prony’s series in time and frequency domains and relevant fractional models
Jordan Hristov
12. A chain of kinetic equations of Bogoliubov-Born-Green-Kirkwood-Yvon and its application to non-equilibrium complex systems
Mukhayo Rasulova V, Tohir Vohidovich Akramov, Nicolai (Jr) Bogoliubov, and Umarbek Avazov
13. Hearing Loss Detection in Complex Setting by Stationary Wavelet Rényi Entropy and Three-Segment Biogeography-Based Optimization
Yabei Li, Junding Sun, and Chong Yao
14. Shannon Entropy-based Complexity Quantification of Nonlinear Stochastic Process: Diagnostic and Predictive Spatio-temporal Uncertainty of Multiple Sclerosis Subgroups
Yeliz Karaca, and Majaz Moonis
15. Chest X-ray image detection for pneumonia via complex convolutional neural network and Biogeography-based optimization
Junding Sun, Xiang Li, and Mengyao Zhai
16. Complex facial expression recognition via Densenet-121
Bin Li
17. Quantitative assessment of local warming based on urban dynamics using remote sensing techniques.
Valentina Santarsiero, Lucia Saganeiti, Angela Pilogallo, Francesco Scorza, Beniamino Murgante, Valentina Santarsiero, and Gabriele Nolè
18. Managing Information Security risk and Internet of Things (IoT) Impact on Challenges of Medicinal Problems with Complex Settings: A Complete Systematic Approach
N. Thirupathi Rao, Debnath Bhattacharyya, and Eali Stephen Neal Joshua
19. An Extensive Discussion on Utilization of Data Security and Big Data Models for Resolving Healthcare Problems
N. Thirupathi Rao, Debnath Bhattacharyya, and Eali Stephen Neal Joshua

Subject Areas: Biomedical engineering [MQW]