Generative adversarial networks and its applications in biomedical informatics
The basic Generative Adversarial Networks (GAN) model is composed of the input vector,
generator, and discriminator. Among them, the generator and discriminator are implicit …
generator, and discriminator. Among them, the generator and discriminator are implicit …
Spectrum of advancements and developments in multidisciplinary domains for generative adversarial networks (GANs)
The survey paper summarizes the recent applications and developments in the domain of
Generative Adversarial Networks (GANs) ie a back propagation based neural network …
Generative Adversarial Networks (GANs) ie a back propagation based neural network …
End-to-end personalization of digital health interventions using raw sensor data with deep reinforcement learning
We introduce an end-to-end reinforcement learning (RL) solution for the problem of sending
personalized digital health interventions. Previous work has shown that personalized …
personalized digital health interventions. Previous work has shown that personalized …
Synthetic behavior sequence generation using generative adversarial networks
Due to the increase in life expectancy in advanced societies leading to an increase in
population age, data-driven systems are receiving more attention to support the older …
population age, data-driven systems are receiving more attention to support the older …
Real-time human activity generation using bidirectional long short term memory networks
V Aswal, V Sreeram, A Kuchik… - 2020 4th International …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has extensive real-life applications. Most of the current
HAR researches are based on machine learning and deep learning approaches to multi …
HAR researches are based on machine learning and deep learning approaches to multi …
An automated algorithmic approach for activity recognition and step detection in the presence of functional compromise
V Filippou - 2021 - etheses.whiterose.ac.uk
Wearable technology is a potential stepping stone towards personalised healthcare. It
provides the opportunity to collect objective physical activity data from the users and could …
provides the opportunity to collect objective physical activity data from the users and could …