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Found 8 papers, 4 papers with code
Environmental Insights: Democratizing Access to Ambient Air Pollution Data and Predictive Analytics with an Open-Source Python Package
Ambient air pollution is a pervasive issue with wide-ranging effects on human health, ecosystem vitality, and economic structures.
A Data-Driven Supervised Machine Learning Approach to Estimating Global Ambient Air Pollution Concentrations With Associated Prediction Intervals
Global ambient air pollution, a transboundary challenge, is typically addressed through interventions relying on data from spatially sparse and heterogeneously placed monitoring stations.
A Framework for Scalable Ambient Air Pollution Concentration Estimation
Ambient air pollution remains a critical issue in the United Kingdom, where data on air pollution concentrations form the foundation for interventions aimed at improving air quality.
Differences in the spatial landscape of urban mobility: gender and socioeconomic perspectives
Many of our routines and activities are linked to our ability to move; be it commuting to work, shopping for groceries, or meeting friends.
Physics and Society Computers and Society
Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms
Given the existent heterogeneity of communities extracted by different community detection algorithms, a comparative analysis of community detection algorithms for optimal HSA delineation is lacking.
Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration
Public stakeholders implement several policies and regulations to tackle gender gaps, fostering the change in the cultural constructs associated with gender.
Social and Information Networks Physics and Society
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
Recent advances in the literature, however, have proposed to study these systems via the network that emerges from the social interactions within the swarm (i. e., the interaction network).
Uncovering the Social Interaction in Swarm Intelligence with Network Science
Here, we address this gap by introducing a network-based framework---the interaction network---to examine computational swarm-based systems via the optics of the social dynamics of such interaction network; a clear example of network science being applied to bring further clarity to a complicated field within artificial intelligence.
