An empirically calibrated shipping model shows rerouting reduces some immediate port losses but raises cumulative arrival shortfalls that grow with closure duration, at 3.0% per day for Suez and 7.7% for triple chokepoint closures.
A review on neural network techniques for the prediction of road traffic accident severity,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
DBS-Adam, which scales learning rates by batch difficulty from EMA gradient norms and loss, reaches 95.22% accuracy on Bi-LSTM accident severity prediction and shows statistically significant precision gains over AMSGrad, AdamW and AdaBound.
citing papers explorer
-
Adaptive rerouting reshapes impacts of maritime chokepoint disruptions
An empirically calibrated shipping model shows rerouting reduces some immediate port losses but raises cumulative arrival shortfalls that grow with closure duration, at 3.0% per day for Suez and 7.7% for triple chokepoint closures.
-
Novel Dynamic Batch-Sensitive Adam Optimiser for Vehicular Accident Injury Severity Prediction
DBS-Adam, which scales learning rates by batch difficulty from EMA gradient norms and loss, reaches 95.22% accuracy on Bi-LSTM accident severity prediction and shows statistically significant precision gains over AMSGrad, AdamW and AdaBound.