Rule-based classification of heavy vehicle operations
The problem explored in this thesis is a supervised classification problem. Input data consists of operational and manufacturing data of a truck. The output denotes its operation, i.e. its basic utility and usage pattern, such as “Long distance” or “On and off-road”. In order to understand the disti...
Main Author: | Strandberg von Schantz, Mathilda |
---|---|
Format: | Others |
Language: | English |
Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254983 |
Similar Items
-
Semi-Supervised Domain Adaptation for Pick Classification in Pick and Place Machines
by: Strandberg, Mitra
Published: (2019) -
Designing for Calibrated Trust Towards Operators of Highly Autonomous Vehicle Systems
by: Lind Oros, Martin
Published: (2020) -
Deep learning approach to hologram based cellular classification
by: Maillot, Robin
Published: (2018) -
Ensuring Insurance : A study of user expectations on trustworthiness of websites for insurances
by: Strandberg, Dan
Published: (2020) -
Verifying arbitrary safety-related rules using Web Ontology Language
by: Suresh Raju, Vishnu
Published: (2019)