1 citations · 1 across the 5 of their papers we have counts for
5 papers
TBBC: Predict True Bacteraemia in Blood Cultures via Deep Learning
Kira Sam
Bacteraemia, a bloodstream infection with high morbidity and mortality rates, poses significant diagnostic challenges. Accurate diagnosis through blood cultures is resource-intensi…
A Comparative Analysis on Ethical Benchmarking in Large Language Models
Kira Sam, Raja Vavekanand
This work contributes to the field of Machine Ethics (ME) benchmarking, which develops tests to assess whether intelligent systems accurately represent human values and act accordi…
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
Raja Vavekanand, Kira Sam
Federated Learning (FL) is a recent model training paradigm in which client devices collaboratively train a model without ever aggregating their data. Crucially, this scheme offers…
Gravix: Active Learning for Gravitational Waves Classification Algorithms
Raja Vavekanand, Kira Sam, Vavek Bharwani
arXiv admin note: This version has been removed by arXiv administrators due to copyright infringement
UAV Networks Surveillance Implementing an Effective Load-Aware Multipath Routing Protocol (ELAMRP)
Raja Vavekanand, Kira Sam, Vijay Singh
In this work uses innovative multi-channel load-sensing techniques to deploy unmanned aerial vehicles (UAVs) for surveillance. The research aims to improve the quality of data tran…