AIMC Topic: Soft Computing

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Enhancement of standardized precipitation evapotranspiration index predictions by machine learning based on regression and soft computing for Iran's arid and hyper-arid region.

PloS one Mar 18, 2025
Drought is a climate risk that affects access to safe water, crop development, ecological stability, and food production. Therefore, developing drought prediction methods can lead to better management of surface and groundwater resources. Similarly, ...
Machine Learning Desert Climate Regression Analysis Iran Droughts Rain Soft Computing
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Development of AI-based hybrid soft computing models for prediction of critical river water quality indicators.

Environmental science and pollution research international Mar 23, 2024
Prediction of river water quality indicators (RWQIs) using artificial intelligence (AI)-based hybrid soft computing modeling techniques could provide essential predictions required for efficient river health planning and management. The study describ...
Artificial Intelligence Models, Theoretical Environmental Monitoring Water Quality Rivers Soft Computing
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Analysis of Structured Data in Biomedicine Using Soft Computing Techniques and Computational Analysis.

Computational intelligence and neuroscience Oct 10, 2022
In the field of biomedicine, enormous data are generated in a structured and unstructured form every day. Soft computing techniques play a major role in the interpretation and classification of the data to make appropriate decisions for making polici...
Humans Algorithms Big Data Fuzzy Logic Cluster Analysis Soft Computing
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