Abstract
Complex systems (CS) involve many elements that interact at different scales in time and space. The challenges in modeling CS led to the development of novel computational tools with applications in a wide range of scientific areas. The computational problems posed by CS exhibit intrinsic difficulties that are a major concern in Computational Complexity Theory. [...]
Highlights
Complex systems (CS) involve many elements that interact at different scales in time and space
The computational problems posed by CS exhibit intrinsic difficulties that are a major concern in Computational Complexity Theory
The step size of the algorithm is normalized with the power of input entropy that is estimated recursively for reducing its computational complexity [5]
Summary
Complex systems (CS) involve many elements that interact at different scales in time and space. This Special Issue (SI) focused on new theoretical and practical findings, and computational methods, applicable to difficult problems, whose solution demands extensive and powerful resources, approaching the limits of the available computer systems. In the paper “A Comparison of Classification Methods for Telediagnosis of Parkinson’s Disease”, Haydar Ozkan presents a novel telemedicine technology aimed to remotely detect Parkinson’s Disease by means of dysphonia features.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
