This paper presents a method for tight prediction of worst-case performance of data caches in highperformance real-time systems. Our approach is to distinguish between data struct...
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
We consider the prediction of a target’s destination and simultaneously recover its filtered trajectory. Two novel models for trajectories with known destinations are presented...
Mustafa Fanaswala, Vikram Krishnamurthy, Langford ...
Code placement techniques have traditionally improved instruction fetch bandwidth by increasing instruction locality and decreasing the number of taken branches. However, traditio...