Abstract The research introduced a new method for land-use classification by merging deep convolutional neural networks with a modified variant of a metaheuristic optimization technique.The methodology involved utilizing the VGG-19 model for feature extraction, dimensionality reduction, and a stacked autoencoder optimized with a BENGAL SPICE booste
The location and sizing of air valves to ensure effective de-aeration of pipelines and to provide vacuum break capability was researched.Based on these findings, software was Ink Bottle developed to evaluate gravity and pumping systems.A sound understanding of the factors affecting the hydraulic transportation of air in a pipeline is paramount for
Background & Objectives: Zagros Mountains, which are between the flatlands of Mesopotamia and the Iranian plateau, surround the western border of the country.This region was the cradle of great civilizations like Mesopotamia and Elam.This study aimed to test the boundary role of the Zagros Mountains in the genetic structure of the region through ev
The semantic segmentation of high-resolution remote sensing images is widely used in various precision agriculture, urban planning, and environmental detection are some examples of these industries.Convolutional neural networks (CNNs) are excellent in the semantic segmentation of remote sensing images.CNN excels in extracting local feature details
The no-hair theorem characterizes the fundamental nature of black holes in general relativity.This theorem can be tested observationally by measuring the mass and spin of a black hole as well as its quadrupole moment, which Collections may deviate from the expected Kerr value.Sgr A*, the supermassive black hole at the center of the Milky Way, is a