Transformer-Based Named Entity Recognition on Drone Flight Logs to Support Forensic Investigation

Author:

Silalahi Swardiantara1ORCID,Ahmad Tohari1ORCID,Studiawan Hudan1

Affiliation:

1. Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia

Funder

Institut Teknologi Sepuluh Nopember

Pendidikan Magister Menuju Doktor untuk Sarjana Unggul (PMDSU) Scholarship from the Ministry of Education, Culture, Research and Technology, Indonesia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Conceptual Digital Forensic Investigation Model Applicable to the Drone Forensics Field;Engineering, Technology & Applied Science Research;2023-10-13

2. Forensic Investigation of Drone Malfunctions with Transformer;2023 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2023-07-07

3. DroNER: Dataset for drone named entity recognition;Data in Brief;2023-06

4. Transformer-based Sentiment Analysis for Anomaly Detection on Drone Forensic Timeline;2023 11th International Symposium on Digital Forensics and Security (ISDFS);2023-05-11

5. SCMA: Exploring Dual-Module Attention With Multi-Scale Kernels for Effective Feature Extraction;IEEE Access;2023

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