Deep learning frameworks for cognitive radio networks: Review and open research challenges
Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …
Secure routing-based energy optimization for IOT application with heterogeneous wireless sensor networks
Wireless sensor networks (WSNs) and the Internet of Things (IoT) are increasingly making
an impact in a wide range of domain-specific applications. In IoT-integrated WSNs, nodes …
an impact in a wide range of domain-specific applications. In IoT-integrated WSNs, nodes …
Fog big data analysis for IoT sensor application using fusion deep learning
The IoT sensor applications have grown in extreme numbers, generating a large amount of
data, and it requires very effective data analysis procedures. However, the different IoT …
data, and it requires very effective data analysis procedures. However, the different IoT …
Reformist framework for improving human security for mobile robots in industry 4.0
In this paper, the cooperation between human and robot companies plays a significant role
in factories, contributing to greater productivity and efficiency. However, this development …
in factories, contributing to greater productivity and efficiency. However, this development …
Cognitive adaptive systems for industrial internet of things using reinforcement algorithm
Agile product development cycles and re-configurable Industrial Internet of Things (IIoT)
allow more flexible and resilient industrial production systems that can handle a broader …
allow more flexible and resilient industrial production systems that can handle a broader …
Smart contracts attribute-based access control model for security & privacy of IoT system using blockchain and edge computing
C Zhonghua, SB Goyal, AS Rajawat - The Journal of Supercomputing, 2024 - Springer
In order to solve the problem of data security and management between IoT edge nodes
and massive heterogeneous devices, combined with the wide application of blockchain …
and massive heterogeneous devices, combined with the wide application of blockchain …
Real-Time Driver Sleepiness Detection and Classification Using Fusion Deep Learning Algorithm
In the past few years, driving while tired has become one of the main causes of car
accidents. This kind of dangerous driving can cause serious injuries or even death and huge …
accidents. This kind of dangerous driving can cause serious injuries or even death and huge …
Secure spectrum access, routing, and hybrid beamforming in an edge-enabled mmwave massive MIMO CRN-based internet of connected vehicle (IoCV) …
D Pari, J Natarajan - Sensors, 2022 - mdpi.com
A cognitive radio network (CRN) is integrated with the Internet of Connected Vehicles (IoCV)
in order to address spectrum scarcity and communication reliability issues. However, it is …
in order to address spectrum scarcity and communication reliability issues. However, it is …
A review of deep learning techniques for enhancing spectrum sensing and prediction in cognitive radio systems: approaches, datasets, and challenges
N El-haryqy, Z Madini, Y Zouine - International Journal of …, 2024 - Taylor & Francis
Cognitive radio (CR) is an emerging wireless technology designed to optimize frequency
band usage and address spectrum shortages. Spectrum sensing and prediction are crucial …
band usage and address spectrum shortages. Spectrum sensing and prediction are crucial …
Application of deep learning with wearable IoT in healthcare sector
In current busy lifestyle of human beings, good health condition is difficult to maintain due to
changing food habits and environment. So, there is need to be aware about health …
changing food habits and environment. So, there is need to be aware about health …