A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

Next-generation big data analytics: State of the art, challenges, and future research topics

Z Lv, H Song, P Basanta-Val… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The term big data occurs more frequently now than ever before. A large number of fields and
subjects, ranging from everyday life to traditional research fields (ie, geography and …

Differential privacy for industrial internet of things: Opportunities, applications, and challenges

B Jiang, J Li, G Yue, H Song - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …

A differential-private framework for urban traffic flows estimation via taxi companies

Z Cai, X Zheng, J Yu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Due to the prominent development of public transportation systems, the taxi flows could
nowadays work as a reasonable reference to the trend of urban population. Being aware of …

Privacy-preserving data mining: methods, metrics, and applications

R Mendes, JP Vilela - IEEE Access, 2017 - ieeexplore.ieee.org
The collection and analysis of data are continuously growing due to the pervasiveness of
computing devices. The analysis of such information is fostering businesses and …

Fault detection and isolation in industrial processes using deep learning approaches

R Iqbal, T Maniak, F Doctor… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Automated fault detection is an important part of a quality control system. It has the potential
to increase the overall quality of monitored products and processes. The fault detection of …

Big data hurdles in precision medicine and precision public health

M Prosperi, JS Min, J Bian, F Modave - BMC medical informatics and …, 2018 - Springer
Background Nowadays, trendy research in biomedical sciences juxtaposes the term
'precision'to medicine and public health with companion words like big data, data science …

FPDP: Flexible privacy-preserving data publishing scheme for smart agriculture

J Song, Q Zhong, W Wang, C Su, Z Tan… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and 5th generation wireless network (5G) is
set to push the smart agriculture to the next level since the massive and real-time data can …

A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues

CT Nguyen, YM Saputra, N Van Huynh… - IEEE …, 2020 - ieeexplore.ieee.org
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …

Enabling and emerging technologies for social distancing: a comprehensive survey and open problems

CT Nguyen, YM Saputra, N Van Huynh… - arXiv preprint arXiv …, 2020 - arxiv.org
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …