Monitoring the riverine pulse: Applying high‐frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes
Widespread deployment of sensors that measure river nitrate (NO3−) concentrations has led
to many recent publications in water resources journals including review papers focused on …
to many recent publications in water resources journals including review papers focused on …
Swarm intelligence for self-organized clustering
Algorithms implementing populations of agents which interact with one another and sense
their environment may exhibit emergent behavior such as self-organization and swarm …
their environment may exhibit emergent behavior such as self-organization and swarm …
[图书][B] Projection-based clustering through self-organization and swarm intelligence: combining cluster analysis with the visualization of high-dimensional data
MC Thrun - 2018 - books.google.com
This open access book covers aspects of unsupervised machine learning used for
knowledge discovery in data science and introduces a data-driven approach to cluster …
knowledge discovery in data science and introduces a data-driven approach to cluster …
[HTML][HTML] We cannot shrug off the shoulder seasons: Addressing knowledge and data gaps in an Arctic headwater
As environmental change in the Arctic accelerates, there is a growing need to accurately
quantify the response of Arctic ecosystems throughout the year. To assess the temporal …
quantify the response of Arctic ecosystems throughout the year. To assess the temporal …
Fingerprinting hydrological and biogeochemical drivers of freshwater quality
AL Heathwaite, M Bieroza - Hydrological Processes, 2021 - Wiley Online Library
Understanding the interplay between hydrological flushing and biogeochemical cycling in
streams is now possible owing to advances in high‐frequency water quality measurements …
streams is now possible owing to advances in high‐frequency water quality measurements …
[HTML][HTML] Distance-based clustering challenges for unbiased benchmarking studies
MC Thrun - Scientific reports, 2021 - nature.com
Benchmark datasets with predefined cluster structures and high-dimensional biomedical
datasets outline the challenges of cluster analysis: clustering algorithms are limited in their …
datasets outline the challenges of cluster analysis: clustering algorithms are limited in their …
Hysteresis analysis of nitrate dynamics in the Neuse River, NC
EB Baker, WJ Showers - Science of the Total Environment, 2019 - Elsevier
Anthropogenic activities have caused N saturation in many terrestrial ecosystems. The
transfer of nutrients and sediments to freshwater environments has resulted in water quality …
transfer of nutrients and sediments to freshwater environments has resulted in water quality …
[HTML][HTML] Explainable AI framework for multivariate hydrochemical time series
The understanding of water quality and its underlying processes is important for the
protection of aquatic environments. With the rare opportunity of access to a domain expert …
protection of aquatic environments. With the rare opportunity of access to a domain expert …
Draining the landscape: how do nitrogen concentrations in riparian groundwater and stream water change following milldam removal?
Dam removals are on the increase across the US with Pennsylvania currently leading the
nation. While most dam removals are driven by aquatic habitat and public safety …
nation. While most dam removals are driven by aquatic habitat and public safety …
Spatially distributed hydro-chemical data with temporally high-resolution is needed to adequately assess the hydrological functioning of headwater catchments
We demonstrated the great value of spatially distributed and temporally high-resolution
hydro-chemical data to enhance knowledge about the intra-catchment variability of flow …
hydro-chemical data to enhance knowledge about the intra-catchment variability of flow …