Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …
from infrastructure to social media. Such system must cope with varying load and evolving …
Machine learning at the network edge: A survey
Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous
in recent years. This has led to the generation of large quantities of data in real-time, which …
in recent years. This has led to the generation of large quantities of data in real-time, which …
A comprehensive review on Internet of Things application placement in Fog computing environment
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 …
requirement of various IoT applications substantially increases. The data generated by …
HealthFog: An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in integrated IoT and fog computing environments
Cloud computing provides resources over the Internet and allows a plethora of applications
to be deployed to provide services for different industries. The major bottleneck being faced …
to be deployed to provide services for different industries. The major bottleneck being faced …
FETCH: a deep learning-based fog computing and IoT integrated environment for healthcare monitoring and diagnosis
These days cloud-based infrastructure is facing many challenges, out of which the major
issue is their syncing data before cutover and data migration. Due to the limited scalability in …
issue is their syncing data before cutover and data migration. Due to the limited scalability in …
Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …
the next generation cloud computing architectures. The emerging cloud computing …
Next generation technologies for smart healthcare: challenges, vision, model, trends and future directions
Modern industry employs technologies for automation that may include Internet of Things
(IoT), Cloud and/or Fog Computing, 5G as well as Artificial Intelligence (AI), Machine …
(IoT), Cloud and/or Fog Computing, 5G as well as Artificial Intelligence (AI), Machine …
A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities
Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …
powerful computers and servers. Recently, with the advancement of more powerful mobile …
DeepMist: Toward deep learning assisted mist computing framework for managing healthcare big data
S Bebortta, SS Tripathy, S Basheer… - IEEE Access, 2023 - ieeexplore.ieee.org
The prevalence of heart disease has remained a major cause of mortalities across the world
and has been challenging for healthcare providers to detect early symptoms of cardiac …
and has been challenging for healthcare providers to detect early symptoms of cardiac …
[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …
remarkable shift from monolithic computing to distributed and decentralized paradigms such …