This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
We propose a wireless fading channel prediction algorithm for a pilot-symbol aided Orthogonal Frequency Division Multiplexing (OFDM) system. Assuming a doubly selective (time and ...
We present uniform approaches to establish complexity bounds for decision problems such as reachability and simulation, that arise naturally in the verification of timed software s...
Rohit Chadha, Axel Legay, Pavithra Prabhakar, Mahe...
In this paper, we suggest a framework that allows for the simulation-based performance assessment of complex manufacturing systems with Automated Material Handling Systems (AMHS)....