Motivating reliable collaboration for modular construction: Shapley value–based smart contract

G Chen, M Liu, H Li, SM Hsiang… - Journal of Management …, 2023 - ascelibrary.org
Establishing a fair benefit distribution system for construction projects, in which participants
often need to work together in a highly uncertain and interrelated environment, is …

A machine learning framework for predicting and understanding the Canadian drought monitor

J Mardian, C Champagne, B Bonsal… - Water Resources …, 2023 - Wiley Online Library
Drought is a costly natural disaster that impacts economies and ecosystems worldwide, so
monitoring drought and communicating its impacts to individuals, communities, industry, and …

[HTML][HTML] A transformer-based model for default prediction in mid-cap corporate markets

K Korangi, C Mues, C Bravo - European Journal of Operational Research, 2023 - Elsevier
In this paper, we study mid-cap companies, ie publicly traded companies with less than US
$10 billion in market capitalisation. Using a large dataset of US mid-cap companies …

Understanding and extending the geographical detector model under a linear regression framework

H Zhang, G Dong, J Wang, TL Zhang… - International Journal …, 2023 - Taylor & Francis
Abstract The Geographical Detector Model (GDM) is a popular statistical toolkit for
geographical attribution analysis. Despite the striking resemblance of the q-statistic in GDM …

Wildfire likelihood in Canadian treed peatlands based on remote-sensing time-series of surface conditions

N Pelletier, K Millard, S Darling - Remote Sensing of Environment, 2023 - Elsevier
While peatland fires are less common than upland fires, long periods of moisture deficit can
increase fuel availability and lead to greater fire risks in peatlands. Peatland fire likelihood is …

A hierarchical, multi‐sensor framework for peatland sub‐class and vegetation map** throughout the Canadian boreal forest

N Pontone, K Millard, DK Thompson… - Remote sensing in …, 2024 - Wiley Online Library
Peatlands in the Canadian boreal forest are being negatively impacted by anthropogenic
climate change, the effects of which are expected to worsen. Peatland types and sub …

Determination of soil source using laser induced breakdown spectroscopy combined with feature selection

Y Ding, Y Shu, A Hu, M Zhao, J Chen, L Yang… - Journal of Analytical …, 2023 - pubs.rsc.org
Determining the soil source is crucial for agricultural planning, forensic case analysis, and
archaeological site research. This study used laser induced breakdown spectroscopy (LIBS) …

A 1000-year history of cropland cover change along the middle and lower reaches of the Yellow River in China

F Yang, H Zhang, F He, Y Wang, S Zhou… - Journal of Geographical …, 2024 - Springer
Landscape in the middle and lower reaches of the Yellow River in China has undergone
significant changes for thousands of years due to agricultural expansion. Lack of reliable …

Map** tundra ecosystem plant functional type cover, height, and aboveground biomass in Alaska and northwest Canada using unmanned aerial vehicles

KM Orndahl, LPW Ehlers, JD Herriges… - Arctic …, 2022 - cdnsciencepub.com
Arctic vegetation communities are rapidly changing with climate warming, which impacts
wildlife, carbon cycling, and climate feedbacks. Accurately monitoring vegetation change is …

[HTML][HTML] New insights into distinguishing temperate deciduous swamps from upland forests and shrublands with SAR

S Banks, K Millard, L Dingle-Robertson… - Remote Sensing of …, 2024 - Elsevier
Although wetlands are widely recognized for thier important role in providing ecosystem
services, their abundance, spatial extent, and condition remain poorly constrained and at …