Predictive algorithms play a crucial role in systems management by alerting the user to potential failures. We report on three case studies dealing with the prediction of failures in computer systems: (1) long-term prediction of performance variables (e.g., disk utilization), (2) short-term prediction of abnormal behavior (e.g., threshold violations), and (3) short-term prediction of system eve...

â  abstract geographical placement of iran especially azerbaijan area in highly strips and alpine-himalayan seismic, causes the earthquakes and their damages as inevitable facts in our country. for this reason, recognition of parameters affecting occurrence of earthquakes and development of new and suitable methods for prediction is necessary in azerbaijan region. analyzing the complex spatio-t...

Abstract Several methods for synthetic audio speech generation have been developed in the literature through years. With great technological advances brought by deep learning, many novel techniques achieving incredible realistic results recently proposed. As these generate convincing fake human voices, they can be used a malicious way to negatively impact on today’s society (e.g., people impers...

Japan's National Project for Earthquake Prediction has been conducted since 1965 without success. An earthquake prediction should be a short-term prediction based on observable physical phenomena or precursors. The main reason of no success is the failure to capture precursors. Most of the financial resources and manpower of the National Project have been devoted to strengthening the seismograp...

Accurate forecasting is one of the fundamental focuses in literature econometric time-series. Often practitioners and policymakers want to predict outcomes an entire time horizon future instead just a single k-step ahead prediction. These series, apart from their own possible nonlinear dependence, are often also influenced by many external predictors. In this article, we construct prediction in...

After the major reasons of water bloom were analyzed, using the rough set theory and principal component analysis respectively to identify the main factors affecting the forecast algal blooms. On this basis, to take advantage of the Libsvm water bloom prediction model and Elman water bloom prediction model for the shortterm prediction of algal blooms phenomenon respectively. Obtained through th...