[PDF][PDF] Deep learning based weighted SOM to forecast weather and crop prediction for agriculture application
One of the most experimentally difficult problem in the world is weather forecasting, which is
a basic mechanism in meteorology. Especially in data mining system, there are different …
a basic mechanism in meteorology. Especially in data mining system, there are different …
[PDF][PDF] Estimating the offshore wind energy along the Portuguese coast using wrf and satellite data
N Salvação, A Bentamy… - Advances in Renewable …, 2019 - centec.tecnico.ulisboa.pt
The wind energy offshore the Portuguese coast is estimated using two wind datasets: the
output from numerical model WRF and a wide array of satellite data. To determine the …
output from numerical model WRF and a wide array of satellite data. To determine the …
A semi‐empirical wind set‐up forecasting model for Lake Champlain
Abstract The precision of Lake Champlain's water level estimation is a key component in the
flood forecasting process for the Richelieu River. Hydrological models do not typically take …
flood forecasting process for the Richelieu River. Hydrological models do not typically take …
[PDF][PDF] Optimized hybrid soft computing model for weather predictions in Delhi
SK Jayasingh, JK Mantri - Int J Recent Technol Eng, 2019 - researchgate.net
Soft computing techniques have become very popular now-a-days as these techniques
have replaced the traditional and statistical prediction mechanisms in weather forecasting …
have replaced the traditional and statistical prediction mechanisms in weather forecasting …
Soccer Ball Position Data Set Modelled to Scaled Exponential Distribution
NC Bhusari, KM Bhurchandi - 2020 IEEE Students Conference …, 2020 - ieeexplore.ieee.org
This paper proposes a statistical approach to model the movement of a ball in soccer. The
proposed work uses ball movement data from ISSIA dataset to put forward the soccer ball …
proposed work uses ball movement data from ISSIA dataset to put forward the soccer ball …