Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application
The use of artificial neural networks (ANNs) in problems related to water resources has
received steadily increasing interest over the last decade or so. The related method of the …
received steadily increasing interest over the last decade or so. The related method of the …
Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review
Since the middle of the twentieth century, artificial intelligence (AI) models have been used
widely in engineering and science problems. Water resource variable modeling and …
widely in engineering and science problems. Water resource variable modeling and …
Precipitation estimation from remotely sensed information using artificial neural networks
Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks
in: Journal of Applied Meteorology and Climatology Volume 36 Issue 9 (1997) Jump to …
in: Journal of Applied Meteorology and Climatology Volume 36 Issue 9 (1997) Jump to …
Global precipitation measurement
C Kidd, G Huffman - Meteorological Applications, 2011 - Wiley Online Library
The quantification of precipitation on a global scale is critical for applications ranging from
climate monitoring to water resource management. Conventional observations through …
climate monitoring to water resource management. Conventional observations through …
[HTML][HTML] Intercomparison of high-resolution precipitation products over northwest Europe
Satellite-derived high-resolution precipitation products (HRPP) have been developed to
address the needs of the user community and are now available with 0.25× 0.25 (or less) …
address the needs of the user community and are now available with 0.25× 0.25 (or less) …
Cloud detection in satellite images with classical and deep neural network approach: A review
This article introduces a review on implementations of various methods to perform cloud
detection and its related applications such as detection of cloud shadow, types of cloud and …
detection and its related applications such as detection of cloud shadow, types of cloud and …
A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
Successful river flow forecasting is a major goal and an essential procedure that is
necessary in water resource planning and management. There are many forecasting …
necessary in water resource planning and management. There are many forecasting …
Robust pruning of training patterns for optimum-path forest classification applied to satellite-based rainfall occurrence estimation
The decision correctness in expert systems strongly depends on the accuracy of a pattern
classifier, whose learning is performed from labeled training samples. Some systems …
classifier, whose learning is performed from labeled training samples. Some systems …
A quantitative precipitation forecast model using convective-cloud tracking in satellite thermal infrared images and adaptive regression: a case study along East Coast …
The current work addresses issues related to quantitative estimation of precipitation caused
by convective clouds, using thermal infrared images, and adaptive regression modeling. The …
by convective clouds, using thermal infrared images, and adaptive regression modeling. The …
Rainfall Prediction: analysis of machine learning algorithms and ensemble techniques
In 2018, approximately 60% of land in India was reported as Agricultural Farmland. Most of
the farmers in India depend on rainfall as the primary source of irrigation which implies that …
the farmers in India depend on rainfall as the primary source of irrigation which implies that …