Sentence examples for forecasting machine from inspiring English sources

A proper integration of these two domains enables the exchange of relevant information that could be applied for advanced failure forecasting, machine control and SPSC planning.

Both issues are recently targeted by the research domains of intelligent maintenance systems (IMS) – forecasting machine failures using a condition-based maintenance (CBM) approach – and spare parts supply chains (SPSC) – planning and providing related maintenance services and spare parts.

This book collects 700 fascinating places in the world for the adventurous traveler, including a hole of fire in Turkmenistan and a leech-powered weather forecasting machine in England.

There is no master plan, the authors insist, as it is "not one technology, government, company, region or discipline that is driving speciation".As with Mr Kurzweil's forecasts for machine super-intelligence and post-biological bodies, these predictions raise hackles in the scientific establishment.

One use for such information is to forecast when machines will break down.

The other opportunities to create jobs and grow the economy are myriad; the Open Data Institute in London runs an incubator for start-ups using information for a whole range of things: to find land that can be developed, to resolve commercial disputes, to forecast when machines will fail.

Literature is replete with different strategies for weather forecasting using different machine learning techniques and statistical models (Saba et al. 2014; Joudaki et al. 2014).

It was demonstrated that separating streamflow into different components such as base flow and surface flow can be useful for improving simulation and forecasting capabilities of machine learning models.

The other 4 thermal comfort parameters and regulation prices can be online forecasted by using the weather forecast techniques or machine learning techniques.

The partial response plots that one can get from random forecasts and other machine learning procedures can also be descriptively helpful.

In order to predict the dynamic behavior of the machine, forecast the influence of specific design changes, and assess the impact of different control architectures with full confidence, the model needs to be validated.