1 citations · 1 across the 4 of their papers we have counts for
4 papers
Federated Learning for Global Carbon Emission Forecasting: A Hybrid Time-Series Approach with Statistical and Neural Models
Attia Qammar, Qazi Haseeb Yousaf, Ali Azam +3
Climate change, primarily driven by carbon dioxide (CO2) emissions, requires accurate forecasting tools to support effective mitigation policies and sustainable development strateg…
Maximizing UAV Fog Deployment Efficiency for Critical Rescue Operations
Abdenacer Naouri, Huansheng Ning, Nabil Abdelkader Nouri +5
In disaster scenarios and high-stakes rescue operations, integrating Unmanned Aerial Vehicles (UAVs) as fog nodes has become crucial. This integration ensures a smooth connection b…
Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of Elevated Body Temperature
Abdenacer Naouri, Nabil Abdelkader Nouri, Attia Qammar +3
Wearable devices like smart glasses have gained popularity across various applications. However, their limited computational capabilities pose challenges for tasks that require ext…
Blockchain-based Optimized Client Selection and Privacy Preserved Framework for Federated Learning
Attia Qammar, Abdenacer Naouri, Jianguo Ding +1
Federated learning is a distributed mechanism that trained large-scale neural network models with the participation of multiple clients and data remains on their devices, only shar…