ABSTRACT High-Resolution Digital Elevation Models (HRDEMs) have been used to
delineate fine-scale hydrographic features in landscapes with relatively level topography …

Information on groundwater level (GWL) fluctuation is very important for general planning
and water resources management. In recent times, Artificial Neural Network (ANN) has …

The prediction of an accurate geodetic point velocity has great importance in geosciences.
The purpose of this work is to explore the predictive capacity of three artificial neural network …

The choice of the method of raw data dividing into train and test subsets in the models based
on the artificial neural networks (ANN) is one of the underexplored problems of continuous …

This study evaluates the steepest descent algorithm as a tool for root mean square (RMS)
error optimization in geodetic reference systems to improve the integrity of transformation …

Efficient transformation parameters are key to effective geodetic operations between any
systems. With the advancement in technology, an improved interaction between geodetic …

Abstract Internet of Things, Edge Computing and 5G networks are rapidly becoming key
enablers for a wide range of new services. This new infrastructure opens more possibilities …

In the development of neural networks, many realizations are performed to decide which
solution provides the smallest prediction error. Due to the inevitable random errors …

The accurate simulation of sand-laden turbulence under different stratification stabilities
remains a critical challenge in turbulence research. This study presents an innovative …

ABSTRACT In developing Artificial Neural Networks (ANNs), the available dataset is split
into three categories: training, validation and testing. However, an important problem arises …