67 citations · 89 across the 6 of their papers we have counts for
6 papers
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring
Thanveer Shaik, Xiaohui Tao, Lin Li +4
Reinforcement learning has been increasingly applied in monitoring applications because of its ability to learn from previous experiences and can make adaptive decisions. However,…
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Michael James Horry, Subrata Chakraborty, Biswajeet Pradhan +6
Lung cancer is the leading cause of cancer death and early diagnosis is associated with a positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung cancer…
Uncertainty Aware Neural Network from Similarity and Sensitivity
H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8
Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…
FedStack: Personalized activity monitoring using stacked federated learning
Thanveer Shaik, Xiaohui Tao, Niall Higgins +4
Recent advances in remote patient monitoring (RPM) systems can recognize various human activities to measure vital signs, including subtle motions from superficial vessels. There i…
The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar +7
With the increasing growth of information through smart devices, increasing the quality level of human life requires various computational paradigms presentation including the Inte…
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Michael Horry, Subrata Chakraborty, Biswajeet Pradhan +5
Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer…