20 citations · 43 across the 7 of their papers we have counts for
7 papers
Selection functions of strong lens finding neural networks
A. Herle, C. M. O'Riordan, S. Vegetti
Convolution Neural Networks trained for the task of lens finding with similar architecture and training data as is commonly found in the literature are biased classifiers. An under…
The impact of human expert visual inspection on the discovery of strong gravitational lenses
Karina Rojas, Thomas E. Collett, Daniel Ballard +53
We investigate the ability of human 'expert' classifiers to identify strong gravitational lens candidates in Dark Energy Survey like imaging. We recruited a total of 55 people that…
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter
Chalukya Bhat, Aniruddh Herle, Janamejaya Channegowda +1
Internet of Things (IoT) applications have opened up numerous possibilities to improve our lives. Most of the remote devices, part of the IoT network, such as smartphones, data log…
Overcoming limited battery data challenges: A coupled neural network approach
Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu
The Electric Vehicle (EV) Industry has seen extraordinary growth in the last few years. This is primarily due to an ever increasing awareness of the detrimental environmental effec…
Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles
Aniruddh Herle, Janamejaya Channegowda, Kali Naraharisetti
Electric Vehicles (EVs) are rapidly increasing in popularity as they are environment friendly. Lithium Ion batteries are at the heart of EV technology and contribute to most of the…
A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries
Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu
Electric Vehicle (EV) fleets have dramatically expanded over the past several years. There has been significant increase in interest to electrify all modes of transportation. EVs a…