A Unified Framework for Replicability of Anomaly Detection in Multiple Time Series: Enhancing GANF and RanSynCoders Pipelines with MFCC Feature Extraction for Acoustic Data

Bibliographic Details
Title: A Unified Framework for Replicability of Anomaly Detection in Multiple Time Series: Enhancing GANF and RanSynCoders Pipelines with MFCC Feature Extraction for Acoustic Data
Authors: Silva, Cristofer, Coelho, Matheus, Barros, Umberto, Ribeiro, Andrea Maria N C, de Paula Monteiro, Rodrigo, Pinheiro, Diego
Source: 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Computational Intelligence (LA-CCI), 2024 IEEE Latin American Conference on. :1-6 Nov, 2024
Relation: 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Database: IEEE Xplore Digital Library