Cloud of Things: architecture, applications and challenges

F Alhaidari, A Rahman, R Zagrouba - Journal of Ambient Intelligence and …, 2023 - Springer
Abstract Nowadays, Cloud Computing and Internet of Things (IoT) are amongst the most
emerging internet technologies playing a vital role in our daily lives. In the near future, their …

The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Congestion control in cognitive IoT-based WSN network for smart agriculture

D Alghazzawi, O Bamasaq, S Bhatia, A Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
Wireless sensor networking is being used extensively in agricultural activities to increase
productivity and reduce losses in various ways. The greenhouse simplifies the concept of …

Reinforcement learning for intelligent healthcare systems: A comprehensive survey

AA Abdellatif, N Mhaisen, Z Chkirbene… - arXiv preprint arXiv …, 2021 - arxiv.org
The rapid increase in the percentage of chronic disease patients along with the recent
pandemic pose immediate threats on healthcare expenditure and elevate causes of death …

" If security is required" engineering and security practices for machine learning-based IoT devices

NK Gopalakrishna, D Anandayuvaraj, A Detti… - Proceedings of the 4th …, 2022 - dl.acm.org
The latest generation of IoT systems incorporate machine learning (ML) technologies on
edge devices. This introduces new engineering challenges to bring ML onto resource …

5GhNet: an intelligent QoE aware RAT selection framework for 5G-enabled healthcare network

B Priya, J Malhotra - Journal of ambient intelligence and humanized …, 2023 - Springer
The COVID-19 outbreak has stimulated the digital transformation of antiquated healthcare
system to a smart hospital, enabling the personalised and remote healthcare services. To …

Intelligent multi-connectivity based energy-efficient framework for smart city

B Priya, J Malhotra - Journal of Network and Systems Management, 2023 - Springer
Smart city enhances the intelligence and sustainability of the city assets through advanced
and diversified applications characterised by specific Quality of Service requirements. To …

Simulated annealing-based multilink selection algorithm in SDN-enabled avionic networks

DK Luong, M Ali, YF Hu, JP Li, R Asif, K Abdo - Ieee Access, 2021 - ieeexplore.ieee.org
In this paper, a novel multilink selection framework is developed for different applications
with various quality of service (QoS) requirements in avionic systems, based on the multi …

iRSL: Intelligent RAT selection framework for beyond 5G networks

B Priya, J Malhotra - Multimedia Tools and Applications, 2024 - Springer
Future networks are shifting towards more diversified and exemplary applications for
societal benefits. To realise the functionalities of these advanced applications and services …

imnet: Intelligent rat selection framework for 5g enabled iomt network

B Priya, J Malhotra - Wireless Personal Communications, 2023 - Springer
The COVID-19 outburst has encouraged the adoption of Internet of Medical Things (IoMT)
network to empower the antiquated healthcare system and alleviate the health care costs …