activity
20192025
most citedTerracorder: Sense Long and Prosper

12 citations · 16 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.PE2025

Prospects for acoustically monitoring ecosystem tipping points

Neel P. Le Penru, Thomas M. Bury, Sarab S. Sethi +2

Many ecosystems can undergo important qualitative changes, including sudden transitions to alternative stable states, in response to perturbations or increments in conditions. Such…

cs.LG2025

Benchmarking Ultra-Low-Power NPUs

Josh Millar, Yushan Huang, Sarab Sethi +2

Efficient on-device neural network (NN) inference offers predictable latency, improved privacy and reliability, and lower operating costs for vendors than cloud-based inference. Th…

cs.LG2024★ 12 cited

Terracorder: Sense Long and Prosper

Josh Millar, Sarab Sethi, Hamed Haddadi +1

In-situ sensing devices need to be deployed in remote environments for long periods of time; minimizing their power consumption is vital for maximising both their operational lifet…

cs.SD2022

Full-Stack Bioacoustics: Field Kit to AI to Action (Workshop report)

Dan Stowell, Caitlin Black, Florencia Noriega +1

Acoustic data (sound recordings) are a vital source of evidence for detecting, counting, and distinguishing wildlife. This domain of "bioacoustics" has grown in the past decade due…

cs.DB2019★ 4 cited

CompEngine: a self-organizing, living library of time-series data

Ben D. Fulcher, Carl H. Lubba, Sarab S. Sethi +1

Modern biomedical applications often involve time-series data, from high-throughput phenotyping of model organisms, through to individual disease diagnosis and treatment using biom…

cs.IR2019

catch22: CAnonical Time-series CHaracteristics

Carl H Lubba, Sarab S Sethi, Philip Knaute +3

Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across…