Sökning: "Karl-Filip Selander"
Hittade 2 uppsatser innehållade orden Karl-Filip Selander.
1. Anomaly Detection using LSTM N. Networks and Naive Bayes Classifiers in Multi-Variate Time-Series Data from a Bolt Tightening Tool
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : In this thesis, an anomaly detection framework has been developed to aid in maintenance of tightening tools. The framework is built using LSTM networks and gaussian naive bayes classifiers. The suitability of LSTM networks for multi-variate sensor data and time-series prediction as a basis for anomaly detection has been explored. LÄS MER
2. Automated Greenhouse
Kandidat-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : In agriculture, growing plants is usually done with soil asthe growing medium. An alternative method for soil is usinga hydroponic system with plants submerged in water. LÄS MER