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 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 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 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 »
Abstract The artistic style (or artistic movement) of a painting is a rich descriptor that captures both visual and historical information about the painting. Correctly identifying the artistic style of
Recognizing Art Style Automatically in Painting with Deep Learning Read More »
Abstract Context: In the healthcare system, Artificial Intelligence (AI) is emerging as a productive tool. There are instances where AI has done marvels in the diagnosis of various health conditions
ABSTRACT Cancer classification is a topic of major interest in medicine since it allows accurate and efficient diagnosis and facilitates a successful outcome in medical treatments. Previous studies have classified
Abstract Industry 4.0 concepts and technologies ensure the ongoing development of microand macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial intelligence is
ABSTRACT Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of
Artificial Intelligence: The Future for Diabetes Care Read More »
