A STUDY OF COMBINATION OF AUTOENCODERS AND BOOSTED BIG-BANG CRUNCH THEORY ARCHITECTURES FOR LAND-USE CLASSIFICATION USING REMOTELY SENSED IMAGERY

A study of combination of autoencoders and boosted Big-Bang crunch theory architectures for Land-Use classification using remotely sensed imagery

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 Computer Glasses with a bo

read more



Depression, Anxiety and Quality of Life in Greek Hospital Staff: A Study in the Aftermath of the Debt Crisis Era

Background: Several studies investigated the mental health needs of hospital staff in Greece during the debt crisis era.Yet, no relevant data are available regarding the mental health of hospital staff after this period.The aims of this study are: 1) To investigate the prevalence of clinically significant depression and anxiety in healthcare worker

read more