Results 81 to 90 of about 30,221 (232)
ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley +1 more source
ABSTRACT Background/Objectives The rising incidence of skin cancer places a significant burden on Australia's health workforce. To support workforce planning, we estimated the supply of dermatologists and general practitioners (GP) working in skin cancer medicine, service demand and need across Queensland in 2023.
Daniel Lindsay +6 more
wiley +1 more source
When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review
In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various fields of use. This article offers a comprehensive review of GeoAI as
Anasse Boutayeb +2 more
doaj +1 more source
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet it can introduce unwanted errors.
Lex, Alexander +3 more
core +1 more source
Experience and self‐interest: Diverging responses to global warming
Abstract People are increasingly feeling global warming's effects through extreme heat and natural disasters. How do these climate shocks affect political attitudes? We argue that the effect of climate‐related experiences depends significantly on self‐interest.
Alexander F. Gazmararian +1 more
wiley +1 more source
Habitation Boundary Extraction using Geospatial Artificial Intelligence on HPC [PDF]
Artificial Intelligence (AI), High-Performance Computing (HPC) and high-resolution satellite imagery have collectively enhanced the capability to extract meaningful geospatial information quickly and accurately.
P. Verma +7 more
doaj +1 more source
What lies between `\emph{sensing}' and `\emph{sensibility}'? In other words, what kind of cognitive processes mediate sensing capability, and the formation of sensible impressions ---e.g., abstractions, analogies, hypotheses and theory formation, beliefs
Bhatt, Mehul
core
Validation of Hourly GSMAP and Ground Base Estimate of Precipitation for Flood Monitoring in Kumamoto, Japan [PDF]
GSMaP (Global Satellite Mapping Precipitation) satellite rainfall estimates are evaluated at the hourly time scale and spatial resolution 0.1 degree latitude x 0.1 degree longitude.
Aryastana, Putu +2 more
core
Deep Learning in GeoSpatial Artificial Intelligence.
{"references": ["GeoAI conference, see: https://udi.ornl.gov/geoai.", "Lin Y, Chiang Y-Y, Pan F, Stripelis D, Ambite JL, Eckel SP, Habre R.(2017); Mining public datasets for modeling intra-", "Li, H., Liu, J., & Zhou, X. (2018). Intelligent Map Reader: A Framework for Topographic Map Understanding With Deep Learning and Gazetteer.
openaire +1 more source
ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley +1 more source

