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Publication Detailed Description
Journal Title
Sensors
Year (definitive publication)
2021
Language
English
Country
Switzerland
More Information
Web of Science®
Scopus
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Abstract
In the field of sensors, in areas such as industrial, clinical, or environment, it is common to find one dimensional (1D) formatted data (e.g., electrocardiogram, temperature, power consumption). A very promising technique for modelling this information is the use of One Dimensional Convolutional Neural Networks (1D CNN), which introduces a new challenge, namely how to define the best architecture for a 1D CNN. This manuscript addresses the concept of One Dimensional Neural Architecture Search (1D NAS), an approach that automates the search for the best combination of Neuronal Networks hyperparameters (model architecture), including both structural and training hyperparameters, for optimising 1D CNNs. This work includes the implementation of search processes for 1D CNN architectures based on five strategies: greedy, random, Bayesian, hyperband, and genetic approaches to perform, collect, and analyse the results obtained by each strategy scenario. For the analysis, we conducted 125 experiments, followed by a thorough evaluation from multiple perspectives, including the best-performing model in terms of accuracy, consistency, variability, total running time, and computational resource consumption. Finally, by presenting the optimised 1D CNN architecture, the results for the manuscript’s research question (a real-life clinical case) were provided.
Acknowledgements
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Keywords
1D CNN,1D NAS,CNN architecture tuning,CNN hyperparameters,Neural Architecture Search,Optimisation algorithms testing,Tests and measurements
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Physical Sciences - Natural Sciences
- Chemical Sciences - Natural Sciences
- Biological Sciences - Natural Sciences
- Other Engineering and Technology Sciences - Engineering and Technology
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
- Clinical Medicine - Medical and Health Sciences
- Other Medical Sciences - Medical and Health Sciences
Funding Records
Funding Reference | Funding Entity |
---|---|
2020.07443.BD | Fundação para a Ciência e a Tecnologia |
UIDB/50008/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
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