activity
20222024
most citedEstimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle

49 citations · 122 across the 9 of their papers we have counts for

collaborators

9 papers

eess.IV2024

Convolutional variational autoencoders for secure lossy image compression in remote sensing

Alessandro Giuliano, S. Andrew Gadsden, Waleed Hilal +1

The volume of remote sensing data is experiencing rapid growth, primarily due to the plethora of space and air platforms equipped with an array of sensors. Due to limited hardware…

cs.RO20244 cited

Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics

Zhe Xu, Tao Yan, Simon X. Yang +2

This paper addresses the challenges of distributed formation control in multiple mobile robots, introducing a novel approach that enhances real-world practicability. We first intro…

eess.SY2024

Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends

Jadyn Powell, Alex McCafferty-Leroux, Waleed Hilal +1

With the increased energy demands of the 21st century, there is a clear need for developing a more sustainable method of energy generation, distribution, and transmission. The popu…

cs.LG20247 cited

A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection

Yuandi Wu, Brett Sicard, Stephen Andrew Gadsden

This study presents a comprehensive overview of PIML techniques in the context of condition monitoring. The central concept driving PIML is the incorporation of known physical laws…

eess.SY202349 cited

Estimation Strategies for the Condition Monitoring of a Battery Systemin a Hybrid Electric Vehicle

Stephen Andrew Gadsden, Mohammad Al-Shabi, Saeid Reza Habibi

This paper discusses the application of condition monitoring to a battery system used in a hybrid electric vehicle (HEV). Battery condition management systems (BCMSs) are employed…

cs.LG2023

De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks

Andrei Buin, Hung Yi Chiang, S. Andrew Gadsden +1

We present here a combination of two networks, Recurrent Neural Networks (RNN) and Temporarily Convolutional Neural Networks (TCN) in de novo reaction generation using the novel Re…