An Online Unsupervised Machine Learning Approach to Detect Driving Related Events

Author:

Silva Marianne1,Flores Thommas1,Andrade Pedro1,Silva Jordao1,Silva Ivanovitch1,Costa Daniel G.2

Affiliation:

1. Postgraduate Program in Electrical and Computer Engineering (PPgEEC)

2. University of Porto - Porto,INEGI, Faculty of Engineering,Portugal

Funder

EGI

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Voice-Assisted Approach for Vehicular Data Querying from Automotive IoT-Based Databases;2023 Symposium on Internet of Things (SIoT);2023-10-25

2. A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge;2023 Symposium on Internet of Things (SIoT);2023-10-25

3. Analysis of Language-Model-Powered Chatbots for Query Resolution in PDF-Based Automotive Manuals;Vehicles;2023-10-16

4. A Framework to Support Collection, Processing and Analysis of Smart Vehicles Data;2023 IEEE 9th World Forum on Internet of Things (WF-IoT);2023-10-12

5. Efficient Online Edge Learning for UAV Object Detection via Adaptive Batch Size Fitting;2023 9th International Conference on Big Data Computing and Communications (BigCom);2023-08-04

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