Abstract Automatic image segmentation is an essential step for many medical image analysis applications, include computer-aided radiation therapy, disease diagnosis, and treatment effect evaluation. One of the major challenges for […]
High-Resolution Encoder–Decoder Networks for Low-Contrast Medical Image Segmentation Read More »
Abstract Coronavirus (COVID-19) is a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The spread of COVID-19 seems to have a detrimental effect on the global economy
ABSTRACT In this paper, we describe an automatic personalization approach aiming to provide online automatic recommendations for active learners without requiring explicit feedback. Recommended learning resources are computed based on
ABSTRACT Context: A microservice architecture is composed of a set of small services, each running in its own process and communicating with lightweight mechanisms. Many aspects on architecting with microservices
Architecting with microservices: A systematic mapping study Read More »
Abstract Can we detect electric discharge states in gases based on the information on visual images? This article proposes a new kind of method where we build several detection models
A Corona Recognition Method Based on Visible Light Color and Machine Learning Read More »
Abstract Internet broadband connectivity and rich educational content have created a global phenomenon in which information and communication technology (ICT) is being used to transform education. Therefore, there is a
Review Paper on E-learning Using Cloud Computing Read More »
