6 citations · 7 across the 7 of their papers we have counts for
7 papers
Measurement Selection Strategies for Position Estimation in Indoor Environments
Neetu R. R, Shrihari Vasudevan, Ranjani H. G
Time-based indoor positioning techniques rely on multiple access points (APs) and measurements between the user equipment (UE) and the APs. In dense indoor environments, occlusion-…
Sequential Binary Classification for Intrusion Detection
Shrihari Vasudevan, Ishan Chokshi, Raaghul Ranganathan +1
Network Intrusion Detection Systems (IDS) have become increasingly important as networks become more vulnerable to new and sophisticated attacks. Machine Learning (ML)-based IDS ar…
Estimating Task Completion Times for Network Rollouts using Statistical Models within Partitioning-based Regression Methods
Venkatachalam Natchiappan, Shrihari Vasudevan, Thalanayar Muthukumar
This paper proposes a data and Machine Learning-based forecasting solution for the Telecommunications network-rollout planning problem. Milestone completion-time estimation is cruc…
Layer Dynamics of Linearised Neural Nets
Saurav Basu, Koyel Mukherjee, Shrihari Vasudevan
Despite the phenomenal success of deep learning in recent years, there remains a gap in understanding the fundamental mechanics of neural nets. More research is focussed on handcra…
Dynamic learning rate using Mutual Information
Shrihari Vasudevan
This paper demonstrates dynamic hyper-parameter setting, for deep neural network training, using Mutual Information (MI). The specific hyper-parameter studied in this paper is the…
Information fusion in multi-task Gaussian processes
Shrihari Vasudevan, Arman Melkumyan, Steven Scheding
This paper evaluates heterogeneous information fusion using multi-task Gaussian processes in the context of geological resource modeling. Specifically, it empirically demonstrates…
Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot
Arnau Ramisa, David Aldavert, Shrihari Vasudevan +2
This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order…