Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Recent advances in evolving computing paradigms: Cloud, edge, and fog technologies

NA Angel, D Ravindran, PMDR Vincent, K Srinivasan… - Sensors, 2021 - mdpi.com
Cloud computing has become integral lately due to the ever-expanding Internet-of-things
(IoT) network. It still is and continues to be the best practice for implementing complex …

An overview of fog data analytics for IoT applications

J Bhatia, K Italiya, K Jadeja, M Kumhar, U Chauhan… - Sensors, 2022 - mdpi.com
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …

Zoom disrupts eye contact behaviour: Problems and solutions

NF Troje - Trends in Cognitive Sciences, 2023 - cell.com
Natural, dynamic eye contact behaviour is critical to social interaction but is dysfunctional in
video conferencing. In analysing the problem, I introduce the concept of directionality and …

Framework for the development of affective and smart manufacturing systems using sensorised surrogate models

Human Factor strategy and management have been affected by the incorporation of Key
Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to …

An aiot system for bat species classification

I Zualkernan, J Judas, T Mahbub… - … on Internet of Things …, 2021 - ieeexplore.ieee.org
Bat species are an integral part of our ecosystem and their monitoring can provide important
insights into conservation and tracking viruses like Covid-19. Given the difficulty and high …

Architectural analysis of deep learning on edge accelerators

L Kljucaric, A Johnson… - 2020 IEEE High …, 2020 - ieeexplore.ieee.org
As computer architectures continue to integrate application-specific hardware, it is critical to
understand the relative performance of devices for maximum app acceleration. The goal of …

Autonomous Threat Response at the Edge Processing Level in the Industrial Internet of Things

G Czeczot, I Rojek, D Mikołajewski - Electronics, 2024 - mdpi.com
Industrial Internet of Things (IIoT) technology, as a subset of the Internet of Things (IoT) in the
concept of Industry 4.0 and, in the future, 5.0, will face the challenge of streamlining the way …

BECA: A Blockchain-Based Edge Computing Architecture for Internet of Things Systems

OJ Ajayi, J Rafferty, J Santos, M Garcia-Constantino… - IoT, 2021 - mdpi.com
The scale of Internet of Things (IoT) systems has expanded in recent times and, in tandem
with this, IoT solutions have developed symbiotic relationships with technologies, such as …

Dew intelligence: Federated learning perspective

E Guberović, T Lipić, I Čavrak - 2021 IEEE 45th Annual …, 2021 - ieeexplore.ieee.org
Newly emerging and evolving technologies such as Cloud, Fog and Edge Computing, as
well as Internet of Things, Cyber-Physical Systems and Distributed Ledger Technology …