Description
1. Introduction 2. Multi-chaos, Fractal and Multi-fractional AI in Different Complex Systems 3. Human Hypercomplexity: Error and Unpredictability in Complex Multi-Chaotic Social Systems 4. High Performance Computing and Computational Intelligence Applications with Multi-Chaos Perspective 5. Fractal Dynamics and Kinetics AI-based Neurological and Biological Diseases’ Predictions of Diagnostic Complexity 6. Multifractal analysis-based Computational Dynamical Complexity Neurocognitive Models by Natural Language Processing (NLP) 7. Prony’s series in time and frequency domains and relevant fractional models 8. Nonlinear Uncertainty Modeling using Fractional Calculus for Different Complex Biological Systems’ Strategies 9. Fractional Calculus AI for Comparative Prediction Analyses of Different Complex-systems-grounded Paradigm 10. Pattern Formation Induced by Fractional-order Diffusive Model of COVID-19 11. A chain of kinetic equations of Bogoliubov-Born-Green-Kirkwood-Yvon and its application to non-equilibrium complex systems 12. An Extensive Discussion on Utilization of Data Security and Big Data Models for Resolving Healthcare Problems 13. Chest X-ray image detection for pneumonia via complex convolutional neural network and Biogeography-based optimization 14. Hearing Loss Detection in Complex Setting by Stationary Wavelet Renyi Entropy and Three-Segment Biogeography-Based Optimization 15. Gray level co-occurrence matrix methods for Covid-19 diagnosis 16. Managing Information Security risk and Internet of Things (IoT) Impact on Challenges of Medicinal Problems with Complex Settings: A Complete Systematic Approach 17. Quantitative assessment of local warming based on urban dynamics using remote sensing techniques 18. Complex facial expression recognition via Densenet-121
