[HTML][HTML] Analysis of attack intensity on autonomous mobile robots
Autonomous mobile robots (AMRs) combine a remarkable combination of mobility,
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
adaptability, and an innate capacity for obstacle avoidance. They are exceptionally well …
Computing paradigms for smart farming in the era of drones: a systematic review
In the current era of agricultural robotization, it is necessary to use a suitable automated data
collection system for constant plant, animal, and machine monitoring. In this context, cloud …
collection system for constant plant, animal, and machine monitoring. In this context, cloud …
Multiple intrusion detection using shapley additive explanations and a heterogeneous ensemble model in an unmanned aerial vehicle's controller area network
YW Hong, DY Yoo - Applied Sciences, 2024 - mdpi.com
Recently, methods to detect DoS and spoofing attacks on In-Vehicle Networks via the CAN
protocol have been studied using deep learning models, such as CNN, RNN, and LSTM …
protocol have been studied using deep learning models, such as CNN, RNN, and LSTM …
[PDF][PDF] An extensive survey of smart agriculture technologies: Current security posture
M Otieno - World J. Adv. Res. Rev, 2023 - researchgate.net
Smart agriculture, enabled by advanced technologies such as internet of things, artificial
intelligence and data analytics, offers immense potential for optimizing farming practices and …
intelligence and data analytics, offers immense potential for optimizing farming practices and …
U-SMART: unified swarm management and resource tracking framework for unoccupied aerial vehicles
Unoccupied aerial vehicle (UAV) swarms have the ability to exhibit improved capabilities
and performance when compared to individual UAVs. However, their target operation …
and performance when compared to individual UAVs. However, their target operation …
Advancements in smart agriculture through innovative weed management using wavelet-based convolution neural network
Smart agriculture has shifted the paradigm by integrating advanced technologies,
particularly weed management. This paper introduces an innovative approach to weed …
particularly weed management. This paper introduces an innovative approach to weed …
Internet of Things for Smart Agricultural Practices
Current technology has permitted various technological advancements and enhanced how
we live and work as the world works toward a sustainable economy, contributing to zero …
we live and work as the world works toward a sustainable economy, contributing to zero …
[HTML][HTML] Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones
Recently, task offloading in the Internet of Drones (IoD) is considered one of the most
important challenges because of the high transmission delay due to the high mobility and …
important challenges because of the high transmission delay due to the high mobility and …
[HTML][HTML] Tasmanian devil optimization with deep autoencoder for intrusion detection in IoT assisted unmanned aerial vehicle networks
Background Recently, a develo** count of physical objects is linked to the Internet at an
unprecedented rate, calcifying the knowledge of the Internet of Things (IoT). In several …
unprecedented rate, calcifying the knowledge of the Internet of Things (IoT). In several …
A synthesis of machine learning and internet of things in develo** autonomous fleets of heterogeneous unmanned aerial vehicles for enhancing the regenerative …
FA Almalki, MC Angelides - Computing, 2024 - Springer
Abstract The use of Unmanned Aerial Vehicles (UAVs) for agricultural monitoring and
management offers additional advantages over traditional methods, ranging from cost …
management offers additional advantages over traditional methods, ranging from cost …