Deep time-series clustering: A review
We present a comprehensive, detailed review of time-series data analysis, with emphasis on
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
deep time-series clustering (DTSC), and a case study in the context of movement behavior …
Denoising EEG signals for real-world BCI applications using GANs
As a measure of the brain's electrical activity, electroencephalography (EEG) is the primary
signal of interest for brain-computer-interfaces (BCI). BCIs offer a communication pathway …
signal of interest for brain-computer-interfaces (BCI). BCIs offer a communication pathway …
Unsupervised denoising of Raman spectra with cycle-consistent generative adversarial networks
C Bench, MS Bergholt, MA al-Badri - arXiv preprint arXiv:2307.00513, 2023 - arxiv.org
Raman spectroscopy can provide insight into the molecular composition of cells and tissue.
Consequently, it can be used as a powerful diagnostic tool, eg to help identify changes in …
Consequently, it can be used as a powerful diagnostic tool, eg to help identify changes in …
基于生成式对抗网络的风场生成研究.
叶继红， 杨振宇 - Engineering Mechanics/Gongcheng Lixue, 2021 - search.ebscohost.com
生成式对抗网络(Generative Adversarial Network, GAN) 是人工智能领域较为重要的思想与
方法. 该文提出基于GAN 生成风场, 其中, 由于GAN 需要训练数据, 考虑到实测风场数据的困难 …
方法. 该文提出基于GAN 生成风场, 其中, 由于GAN 需要训练数据, 考虑到实测风场数据的困难 …
Information-preserving feature filter for short-term EEG signals
The brain-computer interface (BCI) has become one of the most important biomedical
research fields and has many useful applications. An important component of BCI …
research fields and has many useful applications. An important component of BCI …
From lab to life: assessing the impact of real-world interactions on the operation of rapid serial visual presentation-based brain-computer interfaces
Objective. Brain-computer interfaces (BCI) have been extensively researched in controlled
lab settings where the P300 event-related potential (ERP), elicited in the rapid serial visual …
lab settings where the P300 event-related potential (ERP), elicited in the rapid serial visual …
Deep learning-based signal processing approaches for improved tracking of human health and behaviour with wearable sensors
E Brophy - 2022 - doras.dcu.ie
This thesis explores two lines of research in the context of sequential data and machine
learning in the remote environment, ie, outside the lab setting-using data acquired from …
learning in the remote environment, ie, outside the lab setting-using data acquired from …
Strategic-cum-domestic vehicular movement detection through deep learning approach using designed fiber-optic distributed vibration sensor
This paper presents the design and proposal of vehicle identification and classification
sensing mechanism using fiber-optic distributed acoustic sensing (DAS). The seismic …
sensing mechanism using fiber-optic distributed acoustic sensing (DAS). The seismic …
Improved Techniques for Building EEG Feature Filters
Recent advances in the generative adversarial network (GAN) based image translation have
shown its potential of being an image style transformer. Similarly, defined as a style …
shown its potential of being an image style transformer. Similarly, defined as a style …
Research on generation of wind fields based on GAN
J YE, Z YANG - 工程力学, 2021 - engineeringmechanics.cn
Abstract The Generative Adversarial Network (GAN) is an important thought and method in
the field of artificial intelligence. A generation method of wind fields is proposed in this paper …
the field of artificial intelligence. A generation method of wind fields is proposed in this paper …