The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of ...

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

Traditional methods for image reconstruction require extensive manual labor and specialized knowledge. Now, researchers have developed a novel neural network model that can reconstruct these ...

Abstract: Satellite image classification techniques involve numerous approaches from segmentation to classification using nature inspired algorithms, swarm intelligence approaches and now using ...

ABSTRACT: This applied study sought to measure the impact of the Haramain High-Speed Train (HHST) project on the neighborhoods of Tibah municipality by studying the impact of the train on land prices ...

The literature review proved that Artificial Neural Network ... Landsat-8 satellite pictures. The Gabor filter extracts the crucial texture features from the raw image during the feature extraction ...

But how could a satellite be made to choose the best and most relevant images to send home ... (Machine learning refers to software algorithms that can learn from patterns in prior data in ...

Abstract: A semi supervised image classification method for satellite images is proposed ... Thus, in this paper, a Radial Basis Function Neural Network (RBFNN) trained using Manta Ray Foraging ...