A Comprehensive Survey of Deep Learning Approaches for Rheumatoid Arthritis Detection and Prognosis

The accuracy levels (%) of each simulator when compared against known theoretical output. The highest accuracy of the proposed simulator indicates its correctness in simulation and rule execution. In this context, accuracy is the ability of the system to accurately emulate the automaton behavior as per formal definitions and provided outputs. The result was achieved for rigorous unit and integration testing of the transition functions (and their parameters) and tight validation against canonical automata examples. Unlike other traditional tools that oftentimes fail to meet the full compliance level of automata theory formalisms (e.g. some PDAs transitions to incomplete, some ambiguity in PDA stack handling), the proposed solution is strictly consistent with theoretical foundations and covers all possible automata configurations without loss in the logical precision.