Artificial intelligence

Machine learning is the key to diagnose COVID‑19: a proof‑of‑concept study

Machine learning is the key to diagnose COVID‑19: a proof‑of‑concept study

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 …

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Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error Rates

Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error Rates

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 …

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The Factors Affecting Acceptance of E-Learning: A Machine Learning Algorithm Approach

The Factors Affecting Acceptance of E-Learning: A Machine Learning Algorithm Approach

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 …

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Deep Learning: The Impact on Future eLearning

Deep Learning: The Impact on Future eLearning

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 …

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Improving the Quality of Electronic Cleansing of Colorectal CT Images Using a Hybrid Method

Improving the Quality of Electronic Cleansing of Colorectal CT Images Using a Hybrid Method

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 …

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BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT

BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT

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 …

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Deep clustering of protein folding simulations

Deep clustering of protein folding simulations

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 …

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Recommender in AI-enhanced Learning: An Assessment from the Perspective of Instructional Design

Recommender in AI-enhanced Learning: An Assessment from the Perspective of Instructional Design

Abstract As tools for AI-enhanced human learning, recommender systems support learners in finding materials and sequencing learning paths. The paper explores how these recommenders improve the learning experience from a …

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Recognizing Art Style Automatically in painting with deep learning

Recognizing Art Style Automatically in Painting with Deep Learning

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 …

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The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine

The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine

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 …

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