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 …
Using adaptive sensors for optimised target coverage in wireless sensor networks
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 …
Node placement optimization under Q-Coverage and Q-Connectivity constraints in wireless sensor networks
Target coverage and connectivity problems are major challenges for wireless sensor
networks (WSNs). In practice, when different targets demand different priority levels, each …
networks (WSNs). In practice, when different targets demand different priority levels, each …
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 …
Energy-saving distributed monitoring-based firefly algorithm in wireless sensors networks
Coverage control represents an important research challenge during the design of wireless
sensor networks (WSNs) in an energy-efficient way. It is an indicator used to assess network …
sensor networks (WSNs) in an energy-efficient way. It is an indicator used to assess network …
Optimizing wireless sensor network lifetime through K-coverage maximization and memetic search
Many wireless sensor networks (WSNs) not only need to cover targets within their sensing
fields, but also operate for extended periods without requiring expensive recharging. This is …
fields, but also operate for extended periods without requiring expensive recharging. This is …
Generalized defensive modeling of malware propagation in WSNs using atangana–baleanu–caputo (ABC) fractional derivative
The malware spreading in Wireless Sensor Network (WSN) has lately attracted the attention
of many researchers as a hot problem in nonlinear systems. WSN is a collection of sensor …
of many researchers as a hot problem in nonlinear systems. WSN is a collection of sensor …
An efficient coverage and connectivity maintenance using optimal adaptive learning in WSNs
N Meena, B Singh - International Journal of Information Technology, 2023 - Springer
The primary problem for resource-constrained sensor nodes deployed randomly is to
improve the lifetime of the network without changing the operational indicators like network …
improve the lifetime of the network without changing the operational indicators like network …
An epidemic model to analyze the dynamics of malware propagation in rechargeable wireless sensor network
Wireless sensor network (WSN) comprises thousand sensor nodes, which exchange data
from each other. Sensor network faces different types of problem such as energy constraint …
from each other. Sensor network faces different types of problem such as energy constraint …
Intelligent target coverage in wireless sensor networks with adaptive sensors
Day by day innovation in wireless communications and micro-technology has evolved in the
development of wireless sensor networks. This technology has applications such as …
development of wireless sensor networks. This technology has applications such as …