… The rapid emergence of deep learning (DL) … new opportunities and a series of challenges
for information and data processing in smart fish farming. This paper focuses on applications of …

… , at this point deep learning has not … deep learning framework, we review some of its
applications in the medical domain and we discuss the opportunities, challenges and applications …

… specific areas of Deep Learning can be improved to reflect certain challenges associated
with … the application of Deep Learning for specific Big Data Analytics, including learning from …

… Second, we examine the tasks for several commonly used deep learning architectures.
Third, we discuss special challenges rising from modeling EHR data with deep learning, and …

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

… Machine learning and deep learning play a critical role in … for machine tools and process
health monitoring. This paper reviews the opportunities and challenges of deep learning (DL) …

… Deep Learning (DL) is another subset of AI, where models … Here, I analyze several relevant
DL applications and case … problematic issues, but also the successes and opportunities for …

… Machine learning (ML) has recently regained attention because of the successful applications
of deep learning (… straightforward applications, ML faces several challenges when applied …

… , Optimizations, Challenges, and Research Opportunities This article surveys the state-of-the-art
literature that focuses on deep learning optimization for mobile applications and devices…

… OPPORTUNITIES AND CHALLENGES In this section, we discuss the challenges and
opportunities related to deep learning … in the given field, some challenges still need to be resolved. …