Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey

FJ Dian, R Vahidnia, A Rahmati - IEEE access, 2020 - ieeexplore.ieee.org
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

Towards industrial revolution 5.0 and explainable artificial intelligence: Challenges and opportunities

I Taj, N Zaman - International Journal of Computing and Digital …, 2022 - journal.uob.edu.bh
Technological growth is changing our everyday living, making it smarter and more
convenient day by day; Smart society 5.0, Healthcare 5.0, Agriculture 5.0 are only a few …

Digital twin for intelligent context-aware IoT healthcare systems

H Elayan, M Aloqaily, M Guizani - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Since the emergence of digital and smart healthcare, the world has hastened to apply
various technologies in this field to promote better health operation and patients' well being …

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 …

Smart factory of industry 4.0: Key technologies, application case, and challenges

B Chen, J Wan, L Shu, P Li, M Mukherjee, B Yin - Ieee Access, 2017 - ieeexplore.ieee.org
Due to the current structure of digital factory, it is necessary to build the smart factory to
upgrade the manufacturing industry. Smart factory adopts the combination of physical …

[HTML][HTML] Recent progress in energy harvesting systems for wearable technology

A Ali, H Shaukat, S Bibi, WA Altabey, M Noori… - Energy Strategy …, 2023 - Elsevier
This paper provides a comprehensive review of the recent progress made in energy
harvesting systems for wearable technology. An energy-harvesting system would be a …

Brain intelligence: go beyond artificial intelligence

H Lu, Y Li, M Chen, H Kim, S Serikawa - Mobile Networks and Applications, 2018 - Springer
Artificial intelligence (AI) is an important technology that supports daily social life and
economic activities. It contributes greatly to the sustainable growth of Japan's economy and …

Disease prediction by machine learning over big data from healthcare communities

M Chen, Y Hao, K Hwang, L Wang, L Wang - Ieee Access, 2017 - ieeexplore.ieee.org
With big data growth in biomedical and healthcare communities, accurate analysis of
medical data benefits early disease detection, patient care, and community services …

Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …

H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

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 …