[HTML][HTML] Medical 4.0 technologies for healthcare: Features, capabilities, and applications

A Haleem, M Javaid, RP Singh, R Suman - Internet of Things and Cyber …, 2022 - Elsevier
Abstract The Fourth Industrial Revolution may help many sectors and industries, whereas
healthcare will be significantly impacted. Medical advances will be swifter, better and more …

Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios

K Shafique, BA Khawaja, F Sabir, S Qazi… - Ieee …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT)-centric concepts like augmented reality, high-resolution video
streaming, self-driven cars, smart environment, e-health care, etc. have a ubiquitous …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions

A Ahad, M Tahir, KLA Yau - IEEE access, 2019 - ieeexplore.ieee.org
Healthcare is undergoing a rapid transformation from traditional hospital and specialist
focused approach to a distributed patient-centric approach. Advances in several …

Motor anomaly detection for unmanned aerial vehicles using reinforcement learning

H Lu, Y Li, S Mu, D Wang, H Kim… - IEEE internet of things …, 2017 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are used in many fields including weather observation,
farming, infrastructure inspection, and monitoring of disaster areas. However, the currently …

Deep feature learning for medical image analysis with convolutional autoencoder neural network

M Chen, X Shi, Y Zhang, D Wu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
At present, computed tomography (CT) is widely used to assist disease diagnosis.
Especially, computer aided diagnosis (CAD) based on artificial intelligence (AI) recently …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

Edge cognitive computing based smart healthcare system

M Chen, W Li, Y Hao, Y Qian, I Humar - Future Generation Computer …, 2018 - Elsevier
With the rapid development of medical and computer technologies, the healthcare system
has seen a surge of interest from both the academia and industry. However, most healthcare …

A new deep-Q-learning-based transmission scheduling mechanism for the cognitive Internet of Things

J Zhu, Y Song, D Jiang, H Song - IEEE Internet of Things …, 2017 - ieeexplore.ieee.org
Cognitive networks (CNs) are one of the key enablers for the Internet of Things (IoT), where
CNs will play an important role in the future Internet in several application scenarios, such as …

Emotion-aware connected healthcare big data towards 5G

MS Hossain, G Muhammad - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
The recent development of big data-oriented wireless technologies in terms of emerging 5G,
edge computing, interconnected devices of the Internet of Things (IoT), and data analytics …