This monograph presents an interdisciplinary overview of modern intelligent systems and advanced computational technologies, focusing on models, algorithms, software architectures, and practical applications. It covers cryptographic methods based on cellular automata and chaotic processes, intelligent modeling and analysis of complex dynamic systems, and simulation tools for optical, photonic, and photovoltaic applications. Particular attention is given to scalable software development and testing, random sequence and hash-function generation, and multi-agent modeling of infectious disease dynamics. The monograph also examines cloud-native and microservice solutions for X-ray image analysis and deep learning methods for detecting and assessing object damage in emergency situations. The presented approaches integrate mathematical modeling, artificial intelligence, cybersecurity, scalable computing, and engineering technologies to support reliable analysis, prediction, and decision-making in complex real-world systems.
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