Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
A new adaptive algorithm, called LLMS, which employs an array image factor, IA , sandwiched in between two Least Mean Square (LMS) sections, is proposed for different applications ...
Jalal Abdulsayed Srar, Kah-Seng Chung, Ali Mansour
Using a radiosity method to estimate light inter-reflections within large scenes still remains a difficult task. The two main reasons are: (i) the computations entailed by the rad...
Daniel Meneveaux, Kadi Bouatouch, Gilles Subrenat,...
Precomputation is a recently proposed logic optimization technique which selectively disables the inputs of a sequential logic circuit, thereby reducing switching activity and pow...
A key advantage of scientific workflow systems over traditional scripting approaches is their ability to automatically record data and process dependencies introduced during workf...