A comprehensive and systematic literature review on the big data management techniques in the internet of things

A Naghib, N Jafari Navimipour, M Hosseinzadeh… - Wireless …, 2023 - Springer
Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …

Emerging technologies for next generation remote health care and assisted living

I Ahmad, Z Asghar, T Kumar, G Li, A Manzoor… - Ieee …, 2022 - ieeexplore.ieee.org
Remote health care is currently one of the most promising solutions to ensure a high level of
treatment outcome, cost-efficiency and sustainability of the healthcare systems worldwide …

Processing big data with apache hadoop in the current challenging era of COVID-19

O Azeroual, R Fabre - Big Data and Cognitive Computing, 2021 - mdpi.com
Big data have become a global strategic issue, as increasingly large amounts of
unstructured data challenge the IT infrastructure of global organizations and threaten their …

Biomedical signals for healthcare using Hadoop infrastructure with artificial intelligence and fuzzy logic interpretation

S Selvarajan, H Manoharan, T Hasanin, R Alsini… - Applied Sciences, 2022 - mdpi.com
In all developing countries, the application of biomedical signals has been growing, and
there is a potential interest to apply it to healthcare management systems. However, with the …

A novel design and application of spatial data management platform for natural resources

W Kong, T Wang, L Liu, P Luo, J Cui, L Wang… - Journal of Cleaner …, 2023 - Elsevier
Owing to the continuous development of earth observation technology in recent years,
substantial amount of remote sensing image and natural resources business data have …

[HTML][HTML] A Review of Big Data Trends and Challenges in Healthcare

L Baloch, SU Bazai, S Marjan, F Aftab… - International Journal …, 2023 - ijtech.eng.ui.ac.id
The healthcare sector produces an enormous amount of complicated data from several
sources, such as health monitoring systems, medical devices, and electronic health records …

Auto-scaling and computation offloading in edge/cloud computing: a fuzzy Q-learning-based approach

X Ma, K Zong, A Rezaeipanah - Wireless Networks, 2024 - Springer
The fast growth of under developing mobile applications in recent years has emerged a
diversity of delay-sensitive applications such as multimedia streaming, virtual reality …

A sensing-based patient classification framework for efficient patient-nurse scheduling

G Saad, H Harb, A Abouaissa, L Idoumghar… - … Informatics and Systems, 2023 - Elsevier
Nowadays, hospitals and government departments are struggling to reduce the health costs
and improve the service quality. Hospitals rely mainly on nurses who have many duties …

Using cloud computing platform of 6G IoT in e-commerce personalized recommendation

J Wang, Y Zhang - International Journal of System Assurance Engineering …, 2021 - Springer
In order to improve the exposure of commodities in e-commerce, accurately recommend
personalized commodities and stimulate users' consumption of commodities, on the basis of …

Data harnessing to nurture the human mind for a tailored approach to the child

SC Misra, K Mukhopadhyay - Pediatric Research, 2023 - nature.com
Big data in pediatrics is an ocean of structured and unstructured data. Big data analysis
helps to dive into the ocean of data to filter out information that can guide pediatricians in …