← Back to radar
Observation record / Crossref · 研究前沿
Traditional Machine Learning versus Large Language Models for Predicting Ship Turnaround Times at Brazilian Ports
First seen 10/19, 04:21 · Last observed 10/19, 22:22 · Source data is current
Read the original source ↗Title-based outlineTraditional Machine Learning versus Large Language Models for Predicting Ship Turnaround Times at Brazilian Ports
Why it mattersResearch metadata links to papers and authors. Read the original for conclusions; publication order is not impact.
The source provides a date without a publication time; excluded from hourly scored picks.
30 minutesRank movement—
Building history
1 hourRank movement—
Building history
24 hoursRank movement—
Building history
Publication position history
4 observationsPublication feed in source order. Position changes do not count as heat or momentum.
Crossref bibliographic metadata CC0· Author Eduardo C. B. Pacheco, Jonnathan A. Ramos
View original observation times and ranks
| Observation time (Beijing) | Source position |
|---|---|
| 10/19, 22:22 | 20 |
| 10/19, 16:22 | 20 |
| 10/19, 10:21 | 20 |
| 10/19, 04:21 | 20 |
Daily aggregate history
| 日期 | Best daily position | Last daily position | Observations |
|---|---|---|---|
| 2026-10-19 | 20 | 20 | 4 |