Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
[HTML][HTML] Machine learning for spatial analyses in urban areas: a scoping review
The challenges for sustainable cities to protect the environment, ensure economic growth,
and maintain social justice have been widely recognized. Along with the digitization …
and maintain social justice have been widely recognized. Along with the digitization …
To walk or not to walk? Examining non-linear effects of streetscape greenery on walking propensity of older adults
Population aging is a conspicuous demographic trend shaping the world profoundly.
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Walking is a critical travel mode and physical activity for older adults. As such, there is a …
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
MHDM Ribeiro, L dos Santos Coelho - Applied soft computing, 2020 - Elsevier
The investigation of the accuracy of methods employed to forecast agricultural commodities
prices is an important area of study. In this context, the development of effective models is …
prices is an important area of study. In this context, the development of effective models is …
The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysis
Due to the burgeoning demand for freight movement, freight related road safety threats have
been growing substantially. In spite of some research on the factors influencing freight truck …
been growing substantially. In spite of some research on the factors influencing freight truck …
Examining non-linear built environment effects on elderly's walking: A random forest approach
Previous studies often assume a pre-specified relationship between walking and the built
environment. Using data from 702 older adults in Nanjing (China), this study employs a …
environment. Using data from 702 older adults in Nanjing (China), this study employs a …
Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach
Bike-sharing offers a convenient feeder mode for connecting to public transport, which helps
to address the last-mile problem. However, few studies have examined the nuanced …
to address the last-mile problem. However, few studies have examined the nuanced …
A stacking-based ensemble learning method for earthquake casualty prediction
S Cui, Y Yin, D Wang, Z Li, Y Wang - Applied Soft Computing, 2021 - Elsevier
The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …
Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning
Although many studies investigate the association between land use and station ridership,
few examine their nonlinear and moderating relationships. Using metro smartcard data in …
few examine their nonlinear and moderating relationships. Using metro smartcard data in …
Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree
Urban vibrancy can facilitate human activities and social interactions, attract capital and
talent, enhance competitiveness and creativity, maintain resilience, and finally achieve a …
talent, enhance competitiveness and creativity, maintain resilience, and finally achieve a …