Sentence examples for autonomous forecasting from inspiring English sources

The phrase "autonomous forecasting" is correct and usable in written English.
It can be used in contexts related to predictive analytics, machine learning, or any situation where forecasting is done independently by a system or model.
Example: "The company implemented autonomous forecasting to improve its supply chain management and reduce human error."
Alternatives: "self-sufficient forecasting" or "independent forecasting".

Exact(1)

The researchers were able to set up the autonomous forecasting map thanks to advances in computer automation and in calculating earthquake distribution over small distances.

Similar(59)

Waymo continues that the damages are based on Uber's own profitability forecasts of deploying autonomous vehicles into its ridesharing business.

On the basis of the fourth coal forecast [20], Inner Mongolia autonomous region and Xinjiang autonomous region have the largest proven coal reserves, and followed by Shanxi province.

These include companies from all over the world, with various business and industry focuses, including retail analytics, data mining, autonomous vehicle development, voice-powered interfaces, weather forecasting and medical imagery.

These include companies from all over the world, with various business and industry focuses, including retail analytics, data mining, autonomous vehicle development, voice-powered interfaces, weather forecasting and medical imagery.

An adaptive sampling plan is then predicted, using the uncertainty of the acoustic predictions as input to an optimization scheme which finds the parameter values of autonomous sampling behaviors that optimally reduce this forecast of the acoustic uncertainty.

For the development of the CO2-Emissions, however, a factor of 1% per year for autonomous efficiency gains is included in the forecast.

Smart IT Infrastructure, personalized medicine, autonomous transportation and robotics and accurate business forecasts are just some of the areas that will be transformed and improved beyond recognition.

In the meantime, recent political processes changed the angle of the forecasting about the future of the autonomous orientation, decision and action of individuals.

Inevitably, decision and control algorithms for autonomous driving need to cope with such uncertain forecasts.

From 2030, it is forecast that vehicles will be sufficiently autonomous that drivers are no longer necessary.

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