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Found 7 papers, 0 papers with code
Maximizing UAV Fog Deployment Efficiency for Critical Rescue Operations
Following that, We introduce a novel optimization strategy for UAV fog node placement in dynamic networks during evacuation scenarios, with a primary focus on ensuring robust connectivity and maximal coverage for mobile users, while extending the network's lifespan.
Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
This problem is shown to be an instance of the unbounded multidimensional knapsack problem which is considered a strongly NP-hard problem.
Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of Elevated Body Temperature
Wearable devices like smart glasses have gained popularity across various applications.
Context-Aware Service Recommendation System for the Social Internet of Things
Finally, we propose a service recommendation framework for SIoT based on review aggregation and feature learning processes.
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning
However, the typical FL structure relies on the client-server, which leads to the single-point-of-failure (SPoF) attack, and the random selection of clients for model training compromised the model accuracy.
A Multi-Modal Latent-Features based Service Recommendation System for the Social Internet of Things
The Social Internet of Things (SIoT), is revolutionizing how we interact with our everyday lives.
Chatbots to ChatGPT in a Cybersecurity Space: Evolution, Vulnerabilities, Attacks, Challenges, and Future Recommendations
Subsequently, we explored the cybersecurity attacks and vulnerabilities in chatbots.
