6 papers
Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach
Shan Zhang, Pranay Sharma, Baocheng Geng +1
We consider the problem of collaborative distributed estimation in a large scale sensor network with statistically dependent sensor observations. In collaborative setup, the aim is…
Distributed Sequential Hypothesis Testing with Dependent Sensor Observations
Shan Zhang, Prashant Khanduri, Pramod K. Varshney
In this paper, we consider the problem of distributed sequential detection using wireless sensor networks (WSNs) in the presence of imperfect communication channels between the sen…
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach
Shan Zhang, Baocheng Geng, Pramod K. Varshney +1
In this paper, we propose regular vine copula based fusion of multiple deep neural network classifiers for the problem of multi-sensor based human activity recognition. We take the…
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory
Kush R. Varshney, Prashant Khanduri, Pranay Sharma +2
As artificial intelligence is increasingly affecting all parts of society and life, there is growing recognition that human interpretability of machine learning models is important…
Optimal Sensor Collaboration for Parameter Tracking Using Energy Harvesting Sensors
Shan Zhang, Sijia Liu, Vinod Sharma +1
In this paper, we design an optimal sensor collaboration strategy among neighboring nodes while tracking a time-varying parameter using wireless sensor networks in the presence of…
Fusion of Correlated Decisions Using Regular Vine Copulas
Shan Zhang, Lakshmi Narasimhan Theagarajan, Sora Choi +1
In this paper, we propose a regular vine copula based methodology for the fusion of correlated decisions. Regular vine copula is an extremely flexible and powerful graphical model…