A roadmap towards predicting species interaction networks (across space and time)

T Strydom, MD Catchen, F Banville… - … of the Royal …, 2021 - royalsocietypublishing.org
Networks of species interactions underpin numerous ecosystem processes, but
comprehensively sampling these interactions is difficult. Interactions intrinsically vary across …

A Systematic Review of Uncertainty Handling Approaches for Electric Grids Considering Electrical Vehicles

A Auza, E Asadi, B Chenari, M Gameiro da Silva - Energies, 2023 - mdpi.com
This paper systematically reviews the techniques and dynamics to study uncertainty
modelling in the electric grids considering electric vehicles with vehicle-to-grid integration …

Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system

Y Yu, MM Hossain, R Sikder, Z Qi, L Huo… - Science of The Total …, 2024 - Elsevier
Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …

Inferring neutron star properties with continuous gravitational waves

N Lu, K Wette, SM Scott… - Monthly Notices of the …, 2023 - academic.oup.com
Detection of continuous gravitational waves from rapidly spinning neutron stars opens up
the possibility of examining their internal physics. We develop a framework that leverages a …

Enlarging applicability domain of quantitative structure–activity relationship models through uncertainty-based active learning

S Zhong, DR Lambeth, TK Igou, Y Chen - ACS ES&T Engineering, 2022 - ACS Publications
The first step to develop a quantitative structure–activity relationship (QSAR) model is to
identify a set of chemicals with known activities/properties, which can be either collected …

Too hot, too cold, or just right: Can wildfire restore dry forests of the interior Pacific Northwest?

SM Greenler, CJ Dunn, JD Johnston, MJ Reilly… - PLoS …, 2023 - journals.plos.org
As contemporary wildfire activity intensifies across the western United States, there is
increasing recognition that a variety of forest management activities are necessary to restore …

Development of pedotransfer functions by machine learning for prediction of soil electrical conductivity and organic carbon content

KK Benke, S Norng, NJ Robinson, K Chia, DB Rees… - Geoderma, 2020 - Elsevier
The pedotransfer function is a mathematical model used to convert direct soil measurements
into known and unknown soil properties. It provides information for modelling and simulation …

Smoothing methods for automatic differentiation across conditional branches

JN Kreikemeyer, P Andelfinger - IEEE Access, 2023 - ieeexplore.ieee.org
Programs involving discontinuities introduced by control flow constructs such as conditional
branches pose challenges to mathematical optimization methods that assume a degree of …

Propagating input uncertainties into parameter uncertainties and model prediction uncertainties—A review

K Abdi, B Celse, K McAuley - The Canadian Journal of …, 2024 - Wiley Online Library
A review of uncertainty quantification techniques is provided for a variety of situations
involving uncertainties in model inputs (independent variables). The situations of interest are …

Towards differentiable agent-based simulation

P Andelfinger - ACM Transactions on Modeling and Computer …, 2023 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the
assumption that the gradient describing the sensitivity of the simulation output to the input …