no code implementations • 9 May 2024 • Matthew Squires, Xiaohui Tao, Soman Elangovan, U Rajendra Acharya, Raj Gururajan, Haoran Xie, Xujuan Zhou
With the popularity of social media, people have turned to online forums, such as Reddit to express their feelings and seek support.
no code implementations • 25 Apr 2024 • Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Haoran Xie, Xujuan Zhou, Yuefeng Li, U Rajendra Acharya
This work shows that increasing the diversity of a training dataset can improve classification model performance.
no code implementations • 20 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong
In our study, we propose a novel Clustered FedStack framework based on the previously published Stacked Federated Learning (FedStack) framework.
no code implementations • 19 Sep 2023 • Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U R Acharya, Raj Gururajan, Xujuan Zhou
The PDRL framework is able to learn the future states of the traffic and weather forecasting and the cumulative rewards are gradually increasing over each episode.
no code implementations • 20 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou
To provide a therapeutic environment for both patients and staff, aggressive or agitated patients need to be monitored remotely and track their vital signs and physical activities continuously.
no code implementations • 19 Jan 2023 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya
The adoption of artificial intelligence (AI) in healthcare is growing rapidly.
no code implementations • 27 Sep 2022 • Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U Rajendra Acharya
The federated learning architecture was applied to these models to build local and global models capable of state of the art performances.