If you believed we were still on vacation, you should know that we began work on the COSA project...
COSA Project – First Meeting of 2024
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Season Greetings
Season's Greetings - From COSA? As the winter chill embraces the fields, the Collaborative...
Significant Upgrade Alert! – COSA Project Website
Significant Upgrade Alert! Our project website has just received a makeover with fresh updates and...
COSA workshop on Conference XGEN 2023
COSA Workshop XGEN 2023 Exploring the Future of Computational Science: COSA Workshop XGEN 2023 -...
Final Progress Meeting of 2023
Today, we held our final progress meeting of 2023, and it was a deep dive into insightful...
Exciting Update! – COSA Progress Meeting
Exciting Update! Our most recent progress meeting, held on November 8th, was really productive. We...
Wonderful News! – COSA Project Launch
Wonderful News! Collaborative Framework for Smart Agriculture (COSA), our project concept, is...
Our Journey Began – The COSA Project
🌱 Our journey began! The COSA project – Collaborative Framework for Smart Agriculture – is now...
Evaluation of Feature Selection Methods in Estimation of Precipitation Based on Deep Learning Artificial Neural Networks
Precipitation is the most important element of the water cycle and an indispensable element of water resources management. This paper aims to model the monthly precipitation in 8 precipitation observation stations. The effects and role of different feature weights pre-processing methods (Weight by deviation, Weight by PCA, Weight by correlation, and Weight by Support Vector Machine) on artificial intelligence modeling were investigated.