On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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3 results for “Post-disaster”

Deep Learning for Bridge Load Capacity Estimation in Post-Disaster and -Conflict Zonescs.CV

Deep learning predicts bridge load capacity from images.

problem Lack of data on aging bridges in post-disaster zones.

method Crowd-sourced images trained on a new CNN for multiclass classification.

result Improved prediction accuracy and practical optimisation.

Deep learning Bridge load capacity Post-disaster Crowd-sourced images Convolutional neural network

2019-02-05abs ↗pdf ↗

Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approachq-fin.GN

Bayesian model uses mobile data to assess business resilience after hurricanes.

problem Evaluating economic impact of extreme shocks on businesses.

method Bayesian structural time series model with mobile phone data.

result Estimates business resilience after hurricanes, revealing key characteristics.

Bayesian inference human mobility data business resilience hurricane impact resilience analysis

2020-04-01abs ↗pdf ↗

Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detectorcs.LG

Paper improves disaster damage detection using modern transfer learning.

problem Harder to obtain damaged examples than undamaged ones.

method Revisits classical bagging with modern transfer learning.

result Significantly outperforms existing methodologies.

disaster damage detection transfer learning imbalanced classification bagging disentanglement learning

2019-10-04abs ↗pdf ↗