The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...
The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...
MIT researchers tested the “Spatial Computing” theory and found that brain waves organize neurons into flexible, ...
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...
Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information.
Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. Large Scale: 10,000 unique indoor scenes, comprising ...
In 100 years, we'll look back at the fact that schools were based on a one-size-fits-all model and wonder why it took this ...
Abstract: For hyperspectral image (HSI) classification, two branch networks generally use convolutional neural networks (CNNs) to extract the spatial features and long short-term memory (LSTM) to ...
Abstract: Transformer has been extensively explored for hyperspectral image (HSI) classification. However, transformer poses challenges in terms of speed and memory usage because of its quadratic ...
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