… Here we used the original 0.96-s, 128-dimensional features, which best captured transient …
-s) period of acoustic monitoring by listening to just 10 s of the most typical sounds and 12 s of …

Passive acoustic monitoring (PAM) has emerged as a transformative tool for applied ecology,
conservation and biodiversity monitoring, but its potential contribution to fundamental …

… the set S of CNN-derived acoustic feature vectors corresponding to each segment as, S =
{X … longer timescales than 0.96 s, we averaged consecutive members of S using non-…

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

Although eco-acoustic monitoring has the potential to deliver biodiversity insight on vast
scales, existing analytical approaches behave unpredictably across studies. We collated 8,023 …

Automated methods of monitoring ecosystems provide a cost‐effective way to track changes
in natural system's dynamics across temporal and spatial scales. However, methods of …

Time-series data are measured across the sciences, from astronomy to biomedicine, but
meaningful cross-disciplinary interactions are limited by the challenge of identifying fruitful …

Brain dynamics are thought to unfold on a network determined by the pattern of axonal
connections linking pairs of neuronal elements; the so-called connectome. Prior work has …

Recent breakthroughs have led to the development of biodegradable sensors which, after
collecting data, break down into byproducts that are harmless to their surroundings. Using …

Automated monitoring approaches offer an avenue to unlocking large‐scale insight into
how ecosystems respond to human pressures. However, since data collection and data …