Monophonic Music Generation With a Given Emotion Using Conditional Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3113829
Abstract: The rapid increase in the importance of human-machine interaction and the accelerating pace of life pose various challenges for the creators of digital environments. Continuous improvement of human-machine interaction requires precise modeling of the physical… read more here.
Keywords: music generation; given emotion; generation given; music ... See more keywords
Developing a Conditional Variational Autoencoder to Guide Spectral Data Augmentation for Calibration Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3142060
Abstract: To deal with the typically insufficiently labeled samples involved in practical spectroscopy measurements, a conditional variational autoencoder (CVAE) is proposed to guide the spectral data augmentation calibration modeling method for in situ measurement. First, the… read more here.
Keywords: conditional variational; calibration; variational autoencoder; guide spectral ... See more keywords
Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2021.3107515
Abstract: Accurate models of power plants play an important role in maintaining the reliable and secure grid operations. In this paper, we propose a synchrophasor measurement-based generator parameter calibration method by a novel deep learning method… read more here.
Keywords: variational autoencoder; conditional variational; power; parameter calibration ... See more keywords
Predicting pedestrian tracks around moving vehicles based on conditional variational transformer
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070231175536
Abstract: Fast and accurate prediction of pedestrian trajectory around vehicles can reduce or even prevent most traffic accidents and improve the safety of traffic participants. This involves the real-time interaction and fusion of various information, such… read more here.
Keywords: information; transformer; pedestrian trajectory; prediction ... See more keywords
Molecular generative model based on conditional variational autoencoder for de novo molecular design
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cheminformatics"
DOI: 10.1186/s13321-018-0286-7
Abstract: We propose a molecular generative model based on the conditional variational autoencoder for de novo molecular design. It is specialized to control multiple molecular properties simultaneously by imposing them on a latent space. As a… read more here.
Keywords: model based; variational autoencoder; molecular generative; based conditional ... See more keywords
Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure–Potency Fingerprint
Sign Up to like & getrecommendations! Published in 2023 at "Biomolecules"
DOI: 10.3390/biom13020393
Abstract: Prediction of the potency of bioactive compounds generally relies on linear or nonlinear quantitative structure–activity relationship (QSAR) models. Nonlinear models are generated using machine learning methods. We introduce a novel approach for potency prediction that… read more here.
Keywords: potency; structure; potency fingerprint; structure potency ... See more keywords
Designing Bioinspired Composite Structures via Genetic Algorithm and Conditional Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2023 at "Polymers"
DOI: 10.3390/polym15020281
Abstract: Designing composite materials with tailored stiffness and toughness is challenging due to the massive number of possible material and geometry combinations. Although various studies have applied machine learning techniques and optimization methods to tackle this… read more here.
Keywords: genetic algorithm; toughness; variational autoencoder; algorithm conditional ... See more keywords