A comprehensive review on Internet of Things application placement in Fog computing environment

HK Apat, R Nayak, B Sahoo - Internet of Things, 2023 - Elsevier
With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

R Gravina, P Alinia, H Ghasemzadeh, G Fortino - Information Fusion, 2017 - Elsevier
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

An edge-based architecture to support efficient applications for healthcare industry 4.0

P Pace, G Aloi, R Gravina, G Caliciuri… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Edge computing paradigm has attracted many interests in the last few years as a valid
alternative to the standard cloud-based approaches to reduce the interaction timing and the …

The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems

A Darwish, AE Hassanien, M Elhoseny… - Journal of Ambient …, 2019 - Springer
Cloud Computing (CC) and the Internet of Things (IoT) have emerged as new platforms in
the ICT revolution of the twenty-first century. The adoption of the CloudIoT paradigm in the …

Integration of cloud computing and internet of things: a survey

A Botta, W De Donato, V Persico, A Pescapé - Future generation computer …, 2016 - Elsevier
Cloud computing and Internet of Things (IoT) are two very different technologies that are
both already part of our life. Their adoption and use are expected to be more and more …

Deep learning for prediction of depressive symptoms in a large textual dataset

MZ Uddin, KK Dysthe, A Følstad… - Neural Computing and …, 2022 - Springer
Depression is a common illness worldwide with potentially severe implications. Early
identification of depressive symptoms is a crucial first step towards assessment, intervention …

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 …

Enabling IoT interoperability through opportunistic smartphone-based mobile gateways

G Aloi, G Caliciuri, G Fortino, R Gravina, P Pace… - Journal of Network and …, 2017 - Elsevier
In the near future, all our everyday things and objects will be both connected to the Internet
and equipped with enough sensing, acting and processing capabilities to exploit the full …

Edge computing and sensor-cloud: Overview, solutions, and directions

T Wang, Y Liang, X Shen, X Zheng, A Mahmood… - ACM Computing …, 2023 - dl.acm.org
Sensor-cloud originates from extensive recent applications of wireless sensor networks and
cloud computing. To draw a roadmap of the current research activities of the sensor-cloud …