AIMC Topic: Spatial Regression

Clear Filters Showing 1 to 6 of 6 articles

Restorative perception of urban streets: Interpretation using deep learning and MGWR models.

Frontiers in public health Mar 30, 2023
Restorative environments help people recover from mental fatigue and negative emotional and physical reactions to stress. Excellent restorative environments in urban streets help people focus and improve their daily behavioral performance, allowing t...
Humans Deep Learning Spatial Regression Environment Cities Perception
View on PubMed DOI

Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA.

Scientific reports Dec 16, 2021
Machine learning (ML) has demonstrated promise in predicting mortality; however, understanding spatial variation in risk factor contributions to mortality rate requires explainability. We applied explainable artificial intelligence (XAI) on a stack-e...
Humans Spatial Regression Bronchial Neoplasms Male United States Lung Neoplasms Machine Learning Models, Statistical Forecasting Female Risk Factors
View on PubMed DOI

Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
Climate Epidemics Models, Statistical Least-Squares Analysis Spatial Regression Social Class Geography China Cities Computational Biology Environmental Monitoring Reproducibility of Results SARS-CoV-2 Communicable Diseases Humans Machine Learning COVID-19 Algorithms
View on PubMed DOI

Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

BMC infectious diseases Nov 13, 2019
BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT...
Incidence Agriculture Support Vector Machine Iran Humans Neural Networks, Computer Climate Spatial Regression Leptospirosis Linear Models
View on PubMed DOI

Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model.

International journal of environmental research and public health Feb 4, 2019
Currently, more and more remotely sensed data are being accumulated, and the spatial analysis methods for remotely sensed data, especially big data, are desiderating innovation. A deep convolutional network (CNN) model is proposed in this paper for e...
China Models, Spatial Interaction Remote Sensing Technology Neural Networks, Computer Particulate Matter Water Pollutants Water Pollution Spatial Regression
View on PubMed DOI

Multi-scale analysis of the relationship between landscape patterns and a water quality index (WQI) based on a stepwise linear regression (SLR) and geographically weighted regression (GWR) in the Ebinur Lake oasis.

Environmental science and pollution research international Dec 22, 2017
Water quality is highly dependent on landscape characteristics. This study explored the relationships between landscape patterns and water quality in the Ebinur Lake oasis in China. The water quality index (WQI) has been used to identify threats to w...
Spatial Regression Water Quality Rivers Linear Models Grassland China Environmental Monitoring Lakes
View on PubMed DOI
Popular Topics
Recent Journals