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From ISLAB/CAISR
Yuantao Fan
ApplicationArea Intelligent Vehicles +
FamilyName Fan  +
GivenName Yuantao  +
Img Yuantao_Fan_img2.jpg  +
Office E513  +
Person Yuantao Fan +
Project In4Uptime +
Ptitle M.Sc.  +
Role PhD. Candidate  +
Subject Learning Systems  +
SubjectArea Vehicle Diagnostics + , Data Mining +
Has queryThis property is a special property in this wiki. Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan + , Yuantao Fan +
Categories Only pages in namespace "Category" are allowed here. , Person  +
Modification dateThis property is a special property in this wiki. 14 September 2015 09:17:12  +
Page has default formThis property is a special property in this wiki. CreatePerson  +
EmailThis property is a special property in this wiki. yuantao.fan@hh.se  +
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Publications:A Self-Organized Fault Detection Method for Vehicle Fleets + , Publications:Design and Development of a Hexacopter for the Search and Rescue of a Lost Drone + , Publications:Evaluation of Cracks in Metallic Material Using a Self-Organized Data-Driven Model of Acoustic Echo-Signal + , Publications:Evaluation of Micro-flaws in Metallic Material Based on A Self-Organized Data-driven Approach + , Publications:Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet + , Publications:Hand Detection and Gesture Recognition Using Symmetric Patterns + , Publications:Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet + , Publications:Indirect Tire Monitoring System - Machine Learning Approach + , Publications:Infrastructure Mapping in Well-Structured Environments Using MAV + , Publications:Interactive-cosmo : Consensus self-organized models for fault detection with expert feedback + , Publications:Interactive-cosmo: Consensus self-organized models for fault detection with expert feedback + , Publications:Monitoring equipment operation through model and event discovery + , Publications:Pitfalls of Affective Computing : How can the automatic visual communication of emotions lead to harm, and what can be done to mitigate such risks? + , Publications:Predicting Air Compressor Failures Using Long Short Term Memory Networks + , Publications:Predicting Air Compressor Failures with Echo State Networks + , Publications:Transfer learning for remaining useful life prediction based on consensus self-organizing models + , Publications:Transfer learning for remaining useful life prediction based on consensus self-organizing models. + , Publications:Using Histograms to Find Compressor Deviations in Bus Fleet Data + , Publications:Wisdom of the Crowd for Fault Detection and Prognosis + Author
Yuantao Fan + Person
Anomaly Detection for Predictive Maintenance with Elvaco + , Anomaly detection in district heating data - with the Elvaco company + , Assistance-seeking strategy for a flying robot during a healthcare emergency response + , Clustering of battery usage pattern for Electric buses + , Deep Recurrent Networks for Machine Prognostics + , Developing an Intelligent Data-Driven Chatbot for Enhanced Information Retrieval and Interaction + , Effecient implementation of DL models on embedded platforms + , Explainable Anomaly Detection + , Foundation Models for Time Series Analysis + , Music style transfer + , Optimising Energy Consumption for Ferries in Collaboration with Cetasol + , Optimizing Energy Consumption in Maritime Transportation with Machine Learning Methods (in collaboration with Cetasol) + , Path Planning + , Predicting Energy Consumption for Heavy-Duty Vehicles (in collaboration with Volvo) + , Project with HMS + , RaspberryPiVolvoLogger + , Recurrent and Deep Learning for Machine Prognostics + , Representation Learning for Deviation Detection + , Representation Learning for Fault Detection and Prognosis + , Time series anomaly detection for heavy-duty vehicles + Supervisors
 

 

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