Automatic target detection from satellite imagery using machine learning
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …
as precision agriculture, urban planning and defense applications. In satellite imagery …
Chained-drones: Blockchain-based privacy-preserving framework for secure and intelligent service provisioning in internet of drone things
We leverage blockchain technology for malicious node detection in Internet of Drone Things
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …
(IoDTs). IoDTs additionally provide a secure mechanism of service delivery based on …
Using adaptive sensors for optimised target coverage in wireless sensor networks
J Akram, HS Munawar, AZ Kouzani, MAP Mahmud - Sensors, 2022 - mdpi.com
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
and this has resulted in the creation of wireless sensor networks. This technology is utilised …
Cloud-and fog-integrated smart grid model for efficient resource utilisation
The smart grid (SG) is a contemporary electrical network that enhances the network's
performance, reliability, stability, and energy efficiency. The integration of cloud and fog …
performance, reliability, stability, and energy efficiency. The integration of cloud and fog …
A new classification of target coverage models in wsns, survey and algorithms and future directions
The importance given to addressing the k-target coverage problem (k≥ 1) in the wireless
sensor network, makes problem-solving spawn diverse domains, such as medicine (chronic …
sensor network, makes problem-solving spawn diverse domains, such as medicine (chronic …
Dronessl: Self-supervised multimodal anomaly detection in internet of drone things
In this study, we introduce a pioneering framework, DroneSSL, that integrates the concept of
spatial crowdsourcing with TinyML to enhance anomaly detection in the Internet of Drone …
spatial crowdsourcing with TinyML to enhance anomaly detection in the Internet of Drone …
Galtrust: Generative adverserial learning-based framework for trust management in spatial crowdsourcing drone services
In the evolving landscape of consumer electronics, the Generative Adversarial Learning-
based Trust Management (GALTrust) framework emerges as a novel solution, uniquely …
based Trust Management (GALTrust) framework emerges as a novel solution, uniquely …
BC-IoDT: blockchain-based framework for authentication in internet of drone things
We leverage blockchain technology for drone node authentication in internet of drone things
(IoDT). During the authentication procedure, the credentials of drone nodes are examined to …
(IoDT). During the authentication procedure, the credentials of drone nodes are examined to …
Digital Twin-Driven Trust Management in Open RAN-Based Spatial Crowdsourcing Drone Services
We introduce" TMIoDT," a pioneering framework aimed at bolstering communication security
in the Internet of Drone Things (IoDT) integrated with Open Radio Access Networks (Open …
in the Internet of Drone Things (IoDT) integrated with Open Radio Access Networks (Open …
Efficient interest packet forwarding solution for ndn enabled internet of underwater things
Recent growth in network architecture like the Internet of Underwater Thing (IoUT) and future
Internet paradigm like Named Data Network (NDN) has caught the scientific community's …
Internet paradigm like Named Data Network (NDN) has caught the scientific community's …