… automatically, the main challenge in deep learning is that it … learning to deep learning to
overcome this challenge. Most … ensemble learning, especially in the case of deep learning. …

… This paper summarizes existing deep learning research using ECG data from multiple
perspectives and highlights existing challenges and problems to identify potential future research …

… opportunities to facilitate the transition toward Industry 4.0–based production. Machine learning
and deep learning … This paper reviews the opportunities and challenges of deep learning …

… emergence of deep learning (DL) technology has resulted in its successful use in various
fields, including aquaculture. DL creates both new opportunities and a series of challenges for …

… In this survey, we focus on new trends in deep learning for community detection. Our … lies
in the deep feature extraction of dynamics. Opportunities: Deep learning methods have not yet …

… For this purpose it employs a deep learning (DL) model to … Google Colaboratory enables
us to run a deep learning (DL) … and subsequently, the opportunities and challenges are also …

… deep learning techniques to tackle the challenges of insider threat detection, where we
summarize the state-of-the-art deep learning … Second, we summarize ten existing challenges …

… In recent years, deep learning has been a fast-growing field and has shown promising … This
paper provides a systematic review of state-of-the-art deep learning-based PHM frameworks. …

… This paper is to present a review and full developing route of deep learning-… learning-based
FDD methods is discussed in process FDD. Secondly, the characteristics of deep learning …

… Unlike the existing surveys related to deep learning in human activity recognition, we focus
distinctly on the challenges of human activity recognition and how motivated deep learning …