Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/150117
Title: | Environmental data collection from sensor infrastructure for smart nation project | Authors: | Ng, Xin Lei | Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Ng, X. L. (2021). Environmental data collection from sensor infrastructure for smart nation project. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150117 | Abstract: | Data annotation is the process of labelling data to provide the desired outcome that the model should predict. This process usually requires an exorbitant amount of cost and effort if the annotation is done by human annotators. In this project, an automated data labelling model will be implemented to predict the event onset and offset. The network architecture to be implemented consists of pre-trained VGG16 together with bi-directional GRU layer. The model performance will be using event-based macro F1 score, intersection over union, precision and recall for evaluation | URI: | https://hdl.handle.net/10356/150117 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Final_Report_DR-NTU_submission.pdf Restricted Access | 1.41 MB | Adobe PDF | View/Open |
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