This model was employed to examine the feasibility of machine learning-powered monitoring of road infrastructure health. This effort contributes to "Use Of Remote Sensing And Machine Learning ...

In this project, we employ a convolutional autoencoder architecture for image reconstruction tasks. The model starts with a convolutional layer with 64 filters and a kernel size of (3,3), followed by ...

This paper presents the development and evaluation of a convolutional autoencoder model ... The model architecture integrates convolutional layers for feature extraction and upsampling layers for ...

Abstract: In this paper, we propose a DISCO, which is a manner of designing autoencoder architecture to process dual input streams for skeletal image generation ... In addition, we proposed ...