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A Privacy and Energy-Aware Federated Framework for Human Activity Recognition.
Khan AR, Manzoor HU, Ayaz F, Imran MA, Zoha A. Khan AR, et al. Among authors: zoha a. Sensors (Basel). 2023 Nov 22;23(23):9339. doi: 10.3390/s23239339. Sensors (Basel). 2023. PMID: 38067712 Free PMC article.
This paper proposes a federated learning framework integrating spiking neural networks (SNNs) with long short-term memory (LSTM) networks for energy-efficient and privacy-preserving HAR. ...
This paper proposes a federated learning framework integrating spiking neural networks (SNNs) with long short-term memory (LSTM) netw …
FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks.
Manzoor HU, Khan AR, Flynn D, Alam MM, Akram M, Imran MA, Zoha A. Manzoor HU, et al. Among authors: zoha a. Sensors (Basel). 2023 Mar 29;23(7):3570. doi: 10.3390/s23073570. Sensors (Basel). 2023. PMID: 37050631 Free PMC article.
The proposed framework was implemented on substation-level energy data with nine clients for short-term load forecasting using an artificial neural network (ANN). FedBranched took two clustering rounds and resulted in two different branches having individual global models. …
The proposed framework was implemented on substation-level energy data with nine clients for short-term load forecasting using an art …
Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques.
Enshaeifar S, Zoha A, Markides A, Skillman S, Acton ST, Elsaleh T, Hassanpour M, Ahrabian A, Kenny M, Klein S, Rostill H, Nilforooshan R, Barnaghi P. Enshaeifar S, et al. Among authors: zoha a. PLoS One. 2018 May 3;13(5):e0195605. doi: 10.1371/journal.pone.0195605. eCollection 2018. PLoS One. 2018. PMID: 29723236 Free PMC article.
The algorithms are developed with different temporal granularity to process the data for long-term and short-term analysis. We extract higher-level activity patterns which are then used to detect any change in patients' routines. ...
The algorithms are developed with different temporal granularity to process the data for long-term and short-term analysis. We …