most citedComparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts

29 citations · 47 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG202129 cited

Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts

Matti Huotari, Shashank Arora, Avleen Malhi +1

A key aspect for the forklifts is the state-of-health (SoH) assessment to ensure the safety and the reliability of uninterrupted power source. Forecasting the battery SoH well is i…

cs.AI2021

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

Samanta Knapič, Avleen Malhi, Rohit Saluja +1

In the present paper we present the potential of Explainable Artificial Intelligence methods for decision-support in medical image analysis scenarios. With three types of explainab…

cs.LG20218 cited

Towards a Rigorous Evaluation of Explainability for Multivariate Time Series

Rohit Saluja, Avleen Malhi, Samanta Knapič +2

Machine learning-based systems are rapidly gaining popularity and in-line with that there has been a huge research surge in the field of explainability to ensure that machine learn…

cs.LG202110 cited

A Dynamic Battery State-of-Health Forecasting Model for Electric Trucks: Li-Ion Batteries Case-Study

Matti Huotari, Shashank Arora, Avleen Malhi +1

It is of extreme importance to monitor and manage the battery health to enhance the performance and decrease the maintenance cost of operating electric vehicles. This paper concern…

cs.LG2021

Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge

Ashish Rana, Avleen Malhi

Simulation environments are good for learning different driving tasks like lane changing, parking or handling intersections etc. in an abstract manner. However, these simulation en…