We propose a Recurrent Trend Predictive Neural Network (rTPNN) for multi-sensor fire detection based on the trend as well level prediction and fusion of sensor readings. The rTPNN model significantly differs from existing methods due to recurrent data processing employed in its architecture. performs time series each reading captures trends multivariate produced by detector. compare performance...

Cancer is one of the most critical diseases that has caused several deaths in today’s world. In cases, doctors and practitioners are only able to diagnose cancer its later stages. stages, planning treatment increasing patient’s survival rate becomes a very challenging task. Therefore, it need hour detect early stages for appropriate surgery planning. Analysis interpretation medical images such ...

The ability to detect new topics and track them is important given the huge amounts of documents. This paper introduces a trend-based document clustering algorithm for analyzing them. Its key characteristic is that it gives scores to words on the basis of the fluctuation in word frequency. The algorithm generates clusters in a practical time, with O(n) processing cost due to preliminary calcula...