Work

Anomaly Detection on Gas Pipeline Operational Data Using Classic Seasonal Decomposition and Level Shift Anomaly Detection Architecture

Year: 2025

Type: conference-paper

Source: International Conference on Advancement in Data Science, E-learning and Information System (ICADEIS)

DOI: 10.1109/icadeis65852.2025.10933275

Authors: Akmal Muzakki Bakir, Aditya Firman Ihsan, Widi Astuti

Institution: Telkom University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4408861665

FWCI:

Cites: 25

Cited by:

Related to: 10