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Summary of Ceasefire: An Ai-powered System For Combatting Illicit Firearms Trafficking, by Jorgen Cani et al.


CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking

by Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos

First submitted to arxiv on: 21 Jun 2024

Categories

  • Main: Artificial Intelligence (cs.AI)
  • Secondary: None

     Abstract of paper      PDF of paper


GrooveSquid.com Paper Summaries

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Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
The proposed AI-powered system aims to enhance law enforcement’s ability to combat illicit firearms trafficking by merging advanced AI capabilities with real-world operational requirements. The system leverages sophisticated machine learning models and techniques to facilitate the investigation process, allowing officers to focus on high-priority tasks while streamlining their work. The authors demonstrate the effectiveness of this approach through comprehensive evaluation metrics, highlighting the potential for improved efficiency, accuracy, and overall performance.
Low GrooveSquid.com (original content) Low Difficulty Summary
The paper develops a new AI-based system that helps police fight gun trafficking by combining cutting-edge technology with real-life needs. This innovative tool uses advanced computer algorithms to make their jobs easier and more effective, allowing them to focus on what matters most – keeping communities safe.

Keywords

» Artificial intelligence  » Machine learning