Search Results for "weather forecasting data mining"

...Both models are built on JAX and integrate advanced neural architectures capable of learning from multi-scale geophysical data represented on icosahedral meshes. The package includes pretrained model weights, normalization statistics, and demonstration notebooks that allow users to replicate and fine-tune weather forecasting experiments in Colab or on Google Cloud TPUs and GPUs.

NVIDIA Earth2Studio is an open-source Python package and framework designed to accelerate the development and deployment of AI-driven weather and climate science workflows. It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. ...

A Weather data analytical application using freely available and open data mining standards including Chrome extension, Google spreadsheet, Python scripting, etc. Collects weather data from Google search result through Chrome extension to append data to Google spreadsheet. With the stored information such as time, place, temperature, humidity, etc., can find out if changes in temperature can affect the relative humidity.

#ESP.Meteo: Solar Wi-Fi weather station on ESP12 + ionistor + solar panel Current Functionality: *Forecasting the probability of frosts (according to the methods of Professor Brounov) *Forecast of the height of the lower edge of the cloud (VNGO by Selezneva) *Calculation of the height of the sensor according to the barometric formula (altimeter, for other projects) *Measurement of street temperature *Measurement of outdoor humidity *Measurement of street pressure *Calculation of the dew point *Monitoring of voltage on ionistors (charge-discharge control) *Monitoring the opening of the box flap with potatoes *Monitoring the system time-out every 5 minutes (operating time ~ 480 ms) *Monitoring the temperature on the balcony (the ability to connect up to 16 sensors DS18B20: 2 groups of 8 sensors per two APIKEY) *Sending data to the Thingspeak cloud *Sending data to Twitter

Cenobi is designed for management accountants, not (only) for statisticians and data mining experts. Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to...

The content of this project is about weather forecasting component that gets data from self-made web service which the service itself scraps or extracts data from another website (weather.weatherbug.com).

SPIDR (Space Physics Interactive Data Resource) is a distributed database and application server network, built to select, visualize and model historical space weather data. SPIDR is a web-application and a grid of data mining web-services.

Viperfish is intended for the sailor looking to improve his weather forecasting. Viperfish provides the ability to visualise and modify GRIB (weather prediction) files, it can plot routes and provides routing based on coming weather and boat performance.

This project is the mambo's module for wx200d program. It collects data from wx200.txt and then it shows data such as temperature winchill forecasting etc.