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 …
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 …
