Abstract The reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides false negative results that can be rectified […]
Machine learning is the key to diagnose COVID‑19: a proof‑of‑concept study Read More »
Abstract OBJECTIVE. The purpose of this study is to validate an electronic learning, or e-learning, concept featuring gamification elements, rapid case reading, and instant feedback. SUBJECTS AND METHODS. An e-learning
Abstract The Covid-19 epidemic is affecting all areas of life, including the training activities of universities around the world. Therefore, the online learning method is an effective method in the
The Factors Affecting Acceptance of E-Learning: A Machine Learning Algorithm Approach Read More »
Abstract eLearning as technology becomes more affordable in higher education but having a big barrier in the cost of developing its resources. Deep learning using artificial intelligence continues to become
Deep Learning: The Impact on Future eLearning Read More »
Abstract The ongoing pandemic of Corona-Virus (COVID-19) induced by the coming forth category of SARS-CoV-2, has terrified worldwide human health. Primarily, COVID-19 challenges can be categorized into (a) way of
Abstract With the spread of novel coronavirus, global health concerns have increased as it has flattened the curve of mortality worldwide. To handle such containment of the disease, multi-swarm Unmanned
Blockchain-Envisioned Softwarized Multi-Swarming UAVs to Tackle COVID-I9 Situations Read More »
Abstract Robotic in-space assembly of large space structures is a long-term NASA goal to reduce launch costs and enable larger-scale missions. Recently, researchers have proposed using discrete lattice building blocks
Robotic Specialization in Autonomous Robotic Structural Assembly Read More »
Abstract Introduction: Colorectal cancer, as one of the most important fatal cancers, is caused by the lack of timely diagnosis of colorectal polyps. Presently, because of the advancements in CT
Abstract Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved
BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Read More »
Abstract We examine the problem of clustering bio-molecular simulations using deep learning techniques. Since bio-molecular simulation datasets are inherently high dimensional, it is often necessary to build low dimensional representations
Deep clustering of protein folding simulations Read More »
