Gia Nhu Nguyen

TL;DR: A technique for image compression using a deep wavelet autoencoder (DWA), which blends the basic feature reduction property of autoen coder along with the image decomposition property of wavelet transform is proposed and it is noted that the proposed method outshines the existing methods.

TL;DR: A secure intrusion, detection with blockchain based data transmission with classification model for CPS in healthcare sector, which achieves privacy and security and uses a multiple share creation (MSC) model for the generation of multiple shares of the captured image.

TL;DR: A new effective training scheme for the deep neural network (DNN), called ETS-DNN model in edge computing enabled IoMT system, is presented to facilitate timely data collection and processing to identify the patterns that exist in the data.

TL;DR: The main medical image processes that can be developed using the neutrosophic sets, including de-noising, thresholding, segmentation, clustering and classification, were highlighted and the general algorithms that could be used to include NS in each task were proposed.