[HTML][HTML] FedSDM: Federated learning based smart decision making module for ECG data in IoT integrated Edge-Fog-Cloud computing environments
Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …
learning, a promising technique for creating reliable and robust statistical models. By …
An innovative model for electrical load forecasting: A case study in Australia
W Yang, J Wang, S Yang… - Journal of Intelligent & …, 2023 - content.iospress.com
Short-term load prediction has always played an increasingly important part in power system
administration, load dispatch, and energy transfer scheduling. However, how to build a …
administration, load dispatch, and energy transfer scheduling. However, how to build a …
[PDF][PDF] Internet of Things
SM Rajagopal, M Supriya, R Buyya - researchgate.net
Massive data collection in modern systems has paved the way for data-driven machine
learning, a promising technique for creating reliable and robust statistical models. By …
learning, a promising technique for creating reliable and robust statistical models. By …
Urban Ambient Air Quality Data Mining and Visualisation
L Lyu, J Kong, Y Peng - … on Artificial Intelligence of Things and …, 2022 - ieeexplore.ieee.org
Air quality data analysis is based on real-time data collection, and how to use them for
prediction after obtaining a large amount of data is an important problem to be solved in air …
prediction after obtaining a large amount of data is an important problem to be solved in air …