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Software-defined wireless sensor network: A comprehensive survey
Abstract Software-Defined Networks (SDN), a trending networking technology, offers
promising solutions to address the inherent problems of wireless networks, particularly …
promising solutions to address the inherent problems of wireless networks, particularly …
Software-defined wireless sensor networks: A survey
Software-defined networking (SDN) decouples data and control plane, ie, forwarding
elements are remotely configured by centralized controllers instead through distributed …
elements are remotely configured by centralized controllers instead through distributed …
EEG-based pathology detection for home health monitoring
An electroencephalogram (EEG)-based remote pathology detection system is proposed in
this study. The system uses a deep convolutional network consisting of 1D and 2D …
this study. The system uses a deep convolutional network consisting of 1D and 2D …
B5G and explainable deep learning assisted healthcare vertical at the edge: COVID-I9 perspective
B5G-based tactile edge learning shows promise as a solution to handle infectious diseases
such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN …
such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN …
Leveraging deep learning techniques for malaria parasite detection using mobile application
Malaria is a contagious disease that affects millions of lives every year. Traditional diagnosis
of malaria in laboratory requires an experienced person and careful inspection to …
of malaria in laboratory requires an experienced person and careful inspection to …
[HTML][HTML] Proactive defense mechanism: Enhancing IoT security through diversity-based moving target defense and cyber deception
Abstract The Internet of Things (IoT) has become increasingly prevalent in various aspects of
our lives, enabling billions of devices to connect and communicate seamlessly. However …
our lives, enabling billions of devices to connect and communicate seamlessly. However …
Improving the software-defined wireless sensor networks routing performance using reinforcement learning
Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …
because of its flexible architecture. It is expected to become an essential enabler for the …
Deep learning-based intelligent face recognition in IoT-cloud environment
In recent years, the Internet-of-Things (IoT) technology is being used in many application
areas such as healthcare, video surveillance, transportation etc. The massive adoption and …
areas such as healthcare, video surveillance, transportation etc. The massive adoption and …
A mechanism for load balancing routing and virtualization based on SDWSN for IoT applications
Wireless sensor networks (WSN) are important communication components of an internet of
things (IoT). With the development of IoT and the increasing number of connected devices …
things (IoT). With the development of IoT and the increasing number of connected devices …
Computing and processing on the edge: Smart pathology detection for connected healthcare
With the progress of new generation wireless communication technology and machine
learning algorithms to deal with big data, a variety of smart systems are realized to bring …
learning algorithms to deal with big data, a variety of smart systems are realized to bring …