Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-05-31
DOI
https://doi.org/10.21872/2025iise_6530
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment

SPIRE - Sciences Po Institutional REpository
Software System Performance and Reliability
article

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 25%
Software System Performance and Reliability
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS