Sentences with phrase «develop predictive tools»

Proof of concept projects working with the European Centre for Medium - Range Weather Forecasts (ECMWF) based in Reading - which operates the Copernicus atmoshpere Monitoring Service (CAMS) and Climate Change Service (C3S) on behalf of the European Commission - are already working with this data to develop predictive tools with applications across the network sector: turning data into information.

Under this office, NASA's Asteroid Threat Assessment Project has been established to develop predictive tools, including physics - based computer simulations, to assess the impact threat posed by so - called «near - Earth asteroids» and a subclass of these objects deemed «potentially hazardous asteroids.»

His research explores the influence of live fuels on wildland fire behavior and it also explores ways to use this improved understanding to develop predictive tools that can help support strategic and tactical wildland fire management decisions.

Noteworthy is the establishment of a 20 + year long - term times series of lobster larval settlement in the US and Atlantic Canada; seeking to develop predictive tools for lobster population trends through an understanding of pre - and post-settlement processes.

To do that, we have to develop predictive tools that also reflect social behavior patterns, or we won't be able to accurately represent what is happening during vaccine scares.»

Not exact matches

If you have developed some reliable predictive tool for unmanifested complications that are averted by an intervention, then please share it because the obstetric community would desperately love to use it.

While the 2009 pandemic was, in retrospect, a mild pandemic (R0 was estimated to be 1.35, and pC was estimated to be 7 %), it served as an ideal test bed for developing a general predictive tool that can be applied in the early stages of a future pandemic.

UT Southwestern Medical Center researchers are developing a new predictive tool that could help patients with breast cancer and certain lung cancers decide whether follow - up treatments are likely to help.

The team's long - term goal is to develop exometabolomics as a predictive tool.

The method developed by the team led by Brown and Yu, iterative Random Forests (iRF), builds on an algorithm called random forests, a popular and effective predictive modeling tool, translating the internal states of the black box learner into a human - interpretable form.

We are developing new analytical software tools that are founded in rock physics, but that also draw from predictive technology, machine learning, geological uncertainty analysis and geoscience modelling.

As important as the geophysicists will be the data scientists and software engineers, because Deep Earth Imaging is equally an exercise in developing predictive data analytics tools as it is about discovering subsurface phenomena.

We now have the necessary tools to develop these predictive models and improve the treatment of PTSD, which offers great hope for patients.

Understanding how this changes over time in conjunction with genetic analysis may permit the generation of predictive tools to identify patients at risk of developing cancer and those that are not.

For the main conference on September 25 and 26, the event will be structured around 3 plenary sessions, introduced by keynote speakers: Session 1: The Funder, Developer and Regulator as Partners in Innovation Session 2: Novel approaches in clinical development Session 3: Developing more predictive preclinical tools to better reach proof of concept

Toward that end, the association has developed an accountability tool for measuring charter school performance that uses a regressive - based predictive model to filter out non-school effects on the students.

Real estate technology firms are streamlining the capital formation process between real estate operators and their investors by developing a comprehensive suite of tools that include dashboards, machine learning and predictive modeling to augment the human element of real estate sourcing, underwriting and investing.

EMAP: Pollution Probe developed the Electric Mobility Adoption and Prediction (EMAP) initiative as a predictive analytical tool to help utility companies prepare for the expected increase in demand for EV charging in their communities.

Despite the concerted efforts to develop metrics and the urgency to inform policy, management plans, and actions, few metrics have been empirically tested with field data for testing their predictive ability, refinement, and eventual implementation as predictive tools.

They are expanding rapidly as a host of companies compete to develop platforms, many of them with AI capacity, that organise, summarise and analyse data so that it delivers genuine value in saving time when producing documents, and increasingly, as a flexible predictive tool.

While the R&D shop has developed client facing expert systems, document automation tools and predictive analytics — the most notable project this year is called SeytMap, which earned the firm ILTA's «Innovative Project of the Year Award» — an award the firm has now won two years running.

The analytics are powered by artificial intelligence (AI) tools developed in collaboration with Skopos Labs Inc., a software company specializing in predictive analytics.

This approach enables the LexisNexis team to concentrate on PreDiscovery level by developing on a strong base of powerful early case assessment tools and integrating predictive coding, data analytics, and intelligent review devices across the workflow.