The goal of the Journal of Neutrosophic Optimization and Intelligent Systems (NOIS) is to help promote advances in the development and practice of neutrosophic optimization and their generalization in the areas of foundations, mathematics, finance, management, economics, data analysis, decision support systems, numerical methods, information systems, artificial intelligence, uncertainty and indeterminacy modeling, soft computing, granular computing, and others. The journal's scope involves neutrosophic optimization algorithms and applications in every branch of science and technology, including but not limited to:

• Uncertainty Modeling
• Cryptography and its applications
• Cybersecurity data analytics
• Data-driven security and measurement studies
• Adversarial reasoning
• Optimization Algorithms
• Financial Big Data Analytics
• AI Security
• Privacy-enhancing technologies and anonymity
• Decision Support Systems
• Intelligent Information Processing
• Intelligent Control and Robotics
• Multi-agent Systems and Programming
• Intelligent Systems for Medical Treatment and Health
• Computer Vision
• Transactions Processing Systems
• Cyber-Physical Systems
• Edge, Fog, and Cloud Computing and Networks
• Industrial Internet and Industry 4.0
• Green Communications
• Data Science
• Knowledge-based Systems
• Malware analysis
• IoT Security
• Future Internet Architecture, Protocols, and Applications
• Wireless Communications and Networking
• Quantum Computing, Communications, and Information
• Evolutionary Computation
• Intelligent Supply Chain