Anomaly detection using Long Short Term Memory Networks and its applications in Supply Chain Management

Author:

Tran Kim Phuc,Nguyen Huu Du,Thomassey Sébastien

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference27 articles.

1. Real-time monitoring system using smartphone-based sensors and nosql database for perishable supply chain;Alfian;Sustainabil-ity,2017

2. Effectively monitoring rfid based systems. In B. Catania, M. Ivanovic, and B. Thalheim (eds.), Advances in Databases and Information Systems. ADBIS 2010, volume 6295 of;Angiulli;Springer, Berlin, Heidelberg,2010

3. Collective anomaly detection based on long short-term memory recurrent neural networks. In International Conference on Future Data and Security Engineering;Bontemps,2016

4. Machine learning applications in supply chains: long short-term memory for demand forecasting. In International Conference of Cloud Computing Technologies and Applications;Bousqaoui,2017

5. Anomaly detection: A survey;Chandola;ACM computing surveys (CSUR),2009

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