In this paper, the authors use two-stage hybrid models consisting of unsupervised clustering techniques and decision trees with boosting on two different data sets and evaluate the models in terms of top decile lift. They examine two different approaches for hybridization of the models for utilizing the results of clustering based on various attributes related ...

Multiple-valued quantum circuits are promising choices for future quantum computing technology, since the multiple-valued quantum system is more compact than the corresponding binary quantum system. Grover’s quantum search algorithm requires a sub-circuit called oracle, which takes a set of inputs and gives an output stating whether a given search condition on the inputs is satisfied ...

This paper applies two Artificial Intelligence (AI) techniques, fuzzy logic and expert system, to enhance the Kalman filter-based MEMS INS/GPS integration. For better INS error control, the expert knowledge on vehicle dynamics is utilized to simplify dynamics models and to extend measurement update schemes in the velocity filter. To optimize position fusion, a fuzzy inference ...

Power consumption has become a crucial concern in Built-In Self-Test (BIST) due to the switching activity in the Circuit Under-Test (CUT). In this paper, the authors present a novel method which aims at minimizing the total power consumption during testing. This is achieved by minimizing the switching activity in the circuit by reducing the hamming ...