… Opportunities and challenges of deep learning methods for electrocardiogram data: A
systematic review. Computers in Biology and Medicine (2020), 103801. [17] Frank Hutter, Holger …

… multiple approaches to active learning was … Deep learning is another advanced ML
technique showing good results in drug discovery programmes [78], [79], [80], [81]. Deep learning …

… on the weighted sum method, we propose the Deep Neural Networks–based energy- and
cost-… to the Quality of Service (QoS) of application via partitioning methods. Figure 6 illustrates …

… , and accurate picture of the emergency scenario is very vital for pervasive medical care.
This paper contributes in four distinct ways. First, a novel self-adaptive power control based …

… , machine learning and deep learning have emerged as a subfield of artificial intelligence
(AI), whose healthcare industry applications … machine learning and deep learning approaches …

… in the applications of 3D deep learning in different medical … of the applications of 3D deep
learning in medical imaging with … to a 3D localization approach, they did not use 3D CNN in a …

… Numerous methods, databases, and applications have been … computational methods, 9 they
also cover machine learning … approaches, 19 as well as recently developed deep learning …

… approaches in artificial intelligence, deep learning (DL) has attracted a lot of attention in the
medical … of the method to medical physics researchers interested in DL to help them start the …

… Among the wide range of techniques and approaches in deep learning, we present the
overview of several popular deep learning methods that are commonly applied to healthcare and…

… various applications of deep learning approaches for … , deep learning models for developing
the contents of the eLearning platform, deep learning framework that enable deep learning …