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In this paper, a multi-layered multi-scale backscattering model for a lossy medium and a neural network inversion procedure has been presented.We have used a bi-dimensional multi-scale (2D MLS) roug...
The long-range forecasts (LRF) based on statistical methods for southwest monsoon rainfall over India (ISMR) has been issued by the India Meteorological Department (IMD) for more than 100 years. Many ...
The main source of water in Gaza Strip is the shallow coastal aquifer. It is extremely deteriorated in terms of salinity which influenced by many variables. Studying the relation between these variabl...
Modeling of filter performance is very difficult because of complexity of the defining physical and chemical events in the filtration system whereas the knowledge of functionality of filter coefficien...
This paper focuses on a concept of using dimensionless variables as input and output to Artificial Neural Network (ANN) and discusses the improvement in the results in terms of various performance cri...
Determination of the Effects of Water Pollution of Aquacultures using Neural Networks。
Noise measurements were made for 16 relevant outdoor points in the central campus area of Yidz Technical University. All measurements were performed in accordance with Turkish Standards using an HD ...
Artificial neural networks (ANNs) are powerful data-driven modeling tools which have the potential to approximate and interpret complex input/output relationships based on given sets of a data matrix...
In this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory f...

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