PURPOSE OF REVIEW Prostate cancer (PCa) remains a significant public health burden, with multiple points for decision-making at all stages of the disease. Given the amount and variety of data that may influence disease management, prediction models have been published to assist clinicians and patients in making decisions about the best next course of action at many disease states. We sought to ...

We study the impact of incorporating handoff prediction information in the session admission control process in mobile cellular networks. We evaluate the performance of optimal policies obtained with and without the predictive information, while taking into account possible prediction errors. Two different approaches to compute the optimal admission policy were studied: dynamic programming and ...

This study proposes a preemptive steering control strategy that takes into consideration post-impact vehicle stability. To reduce the risk of subsequent crashes after an initial impact, sufficiently fast decision and control are desired for stabilizing the vehicle motion. As opposed to active steering systems for lane or path tracking, the proposed control system needs to assess the strength of...

Bankruptcy is one of the most important issues in Financial Management and investment. Numerous studies on Bankruptcy Prediction have been carried out considering Quantitative factors and they applied different techniques on it to predict Bankruptcy, while only fewer studies have proposed and considered Qualitative factors for prediction of Bankruptcy and even then failure of bankruptcy persist...

Software failures can lead to substantial costs for the user. Existing models for software reliability prediction do not provide much insight into this financial impact. Our approach presents a first step towards the integration of reliability prediction from the IT perspective and the business perspective. We show that failure impact should be taken into account not only at their date of occur...

— An Earthquake is more important for geophysics and economy problems. The Support Vector Machine of data mining techniques with cluster analysis is used to predict impact of earthquake [2]. The historical data are collected which has follow the time series methodology, combine the data mining for pre-processing and finally apply the SVM to predict the impact of earthquake. Earthquake predictio...