The complexity of round robin iterative data flow analysis has been traditionally defined as 1+d where d is the depth of a control flow graph. However, this bound is restricted to ...
The automotive industry has a growing demand for the seamless integration of safety analysis tools into the model-based development toolchain for embedded systems. This requires t...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...