PreprintCC BY-NC-ND 4.0Zenodo
Artificial Intelligence in Common Operating Picture Software for Early Warning and Emergency Management Systems
Abstract
Author's version of a submitted version (preprint), under consideration at a journal.
Related
- Concurrency aware artificial intelligence for real-time intrusion detection in software-defined networks
- PACS-Integrated Artificial Intelligence-Based Software Tool for Rapid and Fully Automatic Bone Fracture Assessment of the Tibial Plateau
- Implementing Artificial Intelligence in Daily Clinical Practice, from Voice Dictation to Operating Room Organization: A Targeted Narrative Review with Hysteroscopy as a Clinical Exemplar
- Human–artificial intelligence collaboration in emergency medical services: from diagnostic algorithms to shared decision support
- Artificial Intelligence in Emergency Medical Call-Taking and Dispatch Operations: A Scoping Review
BibTeX
@misc{besleaga2026artificial,
title = {{Artificial Intelligence in Common Operating Picture Software for Early Warning and Emergency Management Systems}},
author = {Andrei Nicolae Besleaga},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23591378},
url = {https://zenodo.org/records/23591378},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Artificial Intelligence in Common Operating Picture Software for Early Warning and Emergency Management Systems
AU - Andrei Nicolae Besleaga
PY - 2026
DA - 2026/10/23
PB - Zenodo
DO - 10.5281/zenodo.23591378
UR - https://zenodo.org/records/23591378
AB - Author's version of a submitted version (preprint), under consideration at a journal.
ER -