River Publishers Rapids Series in Computer Engineering and Information Science and Technology – serie

This River Publishers Rapid monograph explores recent advances in intelligent technologies and optical computing methods for real-time decision-making systems handling large arrays of fuzzy input data. Developed through long-term collaboration between scientists in Ukraine and the United States—including teams from the University of Texas at El Paso, Admiral Makarov National University of Shipbuilding, Petro Mohyla Black Sea National University, and the Institute of Artificial Intelligence Problems—this work is presented in two focused chapters: Fundamentals of Optical Computing and Optical Color Computing Architecture in Digital Support Systems.The book examines the principles of optical computing, fuzzy data processing, and logical operations based on color representation as an information set. It introduces an innovative approach that uses light radiation of specific colors as fuzzy variables—enhancing the efficiency and speed of logical systems through optical parallelism.Practical implementation of this architecture is demonstrated through a decision support model for managing intensive sea and air traffic, illustrating how real-time multifactorial fuzzy color databases can improve operational decision-making. Performance evaluations show that optical computation delivers higher processing speed due to fewer required operations and parallel data structures.These results have broad applications for higher education, large enterprises, and infrastructure facilities—such as airports, seaports, and oil and gas terminals—where artificial intelligence systems support automated control and decision-making.

This book presents AI-driven approaches for combating spam, phishing, and malware in email systems. It reviews classical techniques, identifies their limitations, and introduces two novel frameworks—FLIDA and G-SFO with adaptive capsule networks. It also highlights the role of quantum machine learning in enabling scalable and resilient email security.Key Features:Concise review of classical and AI-based spam detection.Innovative frameworks: FLIDA and G-SFO–ACapsNet.Insights into quantum paradigms for cybersecurity.Empirical evaluations and comparative performance analyses.Open research issues and future perspectives.This is a valuable resource for researchers, postgraduate students, and professionals in cybersecurity, AI, and data science, as well as industry practitioners and policymakers working on secure communication technologies.