activity
20152020
most citedAutonomous surveillance for biosecurity

39 citations · 40 across the 2 of their papers we have counts for

collaborators

9 papers

cs.LG2020

Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation

Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3

Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…

eess.SP2020

Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT

Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa +3

Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is…

cs.IT2017

Multi-mode Tracking of a Group of Mobile Agents

Vikram Kumar, Reza Arablouei, Raja Jurdak +2

We consider the problem of tracking a group of mobile nodes with limited available computational and energy resources given noisy RSSI measurements and position estimates from grou…

cs.IT2017

RSSI-Based Self-Localization with Perturbed Anchor Positions

Vikram Kumar, Reza Arablouei, Raja Jurdak +2

We consider the problem of self-localization by a resource-constrained mobile node given perturbed anchor position information and distance estimates from the anchor nodes. We cons…

cs.NI2017

Cluster-based Position Tracking of Mobile Sensors

Vikram Kumar, Neil W. Bergmann, Izanoordina +2

Tracking movement of mobile nodes has received significant scientific and commercial interest, but long term tracking of resource-constrained mobile nodes remains challenging due t…

cs.IT20171 cited

WLS-Based Self-Localization Using Perturbed Anchor Positions and RSSI Measurements

Vikram Kumar, Reza Arablouei, Brano Kusy +2

We consider the problem of self-localization by a resource-constrained node within a network given radio signal strength indicator (RSSI) measurements from a set of anchor nodes wh…