—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
Dimitrios Charalampidis, Michael Georgiopoulos, Ta...
In this paper, we look at the problem of inverter minimization in multi-level logic networks. The network is specified in terms of a set of base functions and the inversion opera...
In this paper, we present a novel all-solutions preimage SAT solver, SOLALL, with the following features: (1) a new success-driven learning algorithm employing smaller cut sets; (...
This paper presents an automated partitioning strategy to divide a design into a set of partitions based on design hierarchy information. While the primary objective is to use the...
Mehrdad Eslami Dehkordi, Stephen Dean Brown, Terry...
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...