… Differently from other surveys, this article provides a detailed impact analysis of the surveyed
papers and a guideline for designers of intelligent healthcare systems that can provide …

… surveys dedicated only a single section to this topic, however, there lacks a comprehensive
survey … ML techniques for their applicability in IoT healthcare. Moreover, studies that interlink …

… that have infiltrated every aspect of the healthcare system. In addition, we discuss the …
Serving as the first comprehensive survey of RL applications in healthcare, this article aims …

… The recent advances in deep reinforcement learning (DRL) algorithms can potentially … of
IoT systems. In this context, this paper provides a comprehensive survey that overviews DRL …

… Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

… domains ranging from dynamic treatment regimes in chronic diseases and critical care, an
… aspects of a healthcare system. Different from the previous work, our survey focuses on how …

… Here, we discuss the integration of deep learning with RL. It provides an approximated …
Briefly, the integration of deep learning with RL yields deep reinforcement learning (DeepRL…

… comprehensive survey of different types of cyberattacks against different IoT systems and
then we present RL and deep … IoT systems. Furthermore, we present the RL for securing CPS …

… Here, we present a comprehensive survey of IoT- and IoMT-based smart health … the
development of AI and machine learning (ML) algorithms in the context of deep … care systems. The …

… , the latest deep reinforcement learning (RL) based traffic control applications are surveyed.
… This paper presents a comprehensive survey on deep RL applications for ITS by discussing …