NRATCC bridges abstract computational models and real-world implementations. Articles in this domain explore advancements in quantum computing, parallel computation, and innovative approaches to automata and formal languages. Research that challenges existing paradigms or proposes new frameworks for addressing computational efficiency is strongly encouraged. The journal welcomes both foundational research and application-driven studies that address pressing challenges in cryptography, machine learning, and network theory.
Current Issue
Vol. 10 No. 2 (2025): NRATCC-FEBRUARY-2025
Published: 2025-02-01