How can edge computing benefit from software-defined networking: A survey, use cases, and future directions

AC Baktir, A Ozgovde, C Ersoy - IEEE Communications Surveys …, 2017 - ieeexplore.ieee.org
A novel paradigm that changes the scene for the modern communication and computation
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …

A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future

E Kyrimi, S McLachlan, K Dube, MR Neves… - Artificial Intelligence in …, 2021 - Elsevier
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in
the past, making it difficult to organize the research contributions in the present and identify …

[HTML][HTML] Bayesian networks in healthcare: Distribution by medical condition

S McLachlan, K Dube, GA Hitman, NE Fenton… - Artificial intelligence in …, 2020 - Elsevier
Bayesian networks (BNs) have received increasing research attention that is not matched by
adoption in practice and yet have potential to significantly benefit healthcare. Hitherto …

System modelling and performance evaluation of a three-tier cloud of things

W Li, I Santos, FC Delicato, PF Pires, L Pirmez… - Future Generation …, 2017 - Elsevier
The emergent paradigm of fog computing advocates that the computational resources can
be extended to the edge of the network, so that the transmission latency and bandwidth …

Recovery for overloaded mobile edge computing

D Satria, D Park, M Jo - Future Generation Computer Systems, 2017 - Elsevier
Mobile edge computing (MEC) allows the use of its services with low latency, location
awareness and mobility support to make up for the disadvantages of cloud computing. But …

A task scheduling algorithm considering game theory designed for energy management in cloud computing

J Yang, B Jiang, Z Lv, KKR Choo - Future Generation computer systems, 2020 - Elsevier
With the increasing popularity of cloud computing products, task scheduling problem has
become a hot research topic in this field. The task scheduling problem of cloud computing …

Bayesian networks in healthcare: What is preventing their adoption?

E Kyrimi, K Dube, N Fenton, A Fahmi, MR Neves… - Artificial Intelligence in …, 2021 - Elsevier
There has been much research effort expended toward the use of Bayesian networks (BNs)
in medical decision-making. However, because of the gap between developing an accurate …

An enhanced healthcare system in mobile cloud computing environment

J Hanen, Z Kechaou, MB Ayed - Vietnam Journal of Computer Science, 2016 - Springer
Mobile cloud computing (MCC) is a new technology for mobile web services. Accordingly,
we assume that MCC is likely to be of the heart of healthcare transformation. MCC offers …

[HTML][HTML] Ontology-based approach to social data sentiment analysis: detection of adolescent depression signals

H Jung, HA Park, TM Song - Journal of medical internet research, 2017 - jmir.org
Background Social networking services (SNSs) contain abundant information about the
feelings, thoughts, interests, and patterns of behavior of adolescents that can be obtained by …

IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness

A Gyrard, A Sheth - Smart Health, 2020 - Elsevier
Nowadays, healthy lifestyle, fitness, and diet habits have become central applications in our
daily life. Positive psychology such as well-being and happiness is the ultimate dream of …