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 ...
Abstract: Spatial trajectory prediction is a fundamental problem for diverse location-based applications. However, existing methods fall short in learning and generalization, and cannot sufficiently ...
Let’s pull a page out of Albert Einstein’s thought experiment playbook and bring it into today’s world. Imagine a student sitting at a desk, not in front of a book or even a video, but inside a coral ...
Aging is accompanied by a decline in cognitive functions, including spatial memory, yet significant variability exists in the learning abilities of older individuals. Using a large cohort of aged and ...
When Scott Traylor arrived at the Harvard Graduate School of Education, he wasn’t looking for a fresh start, he was seeking momentum. A veteran of the edtech world, Traylor had spent years designing ...
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