Results 91 to 100 of about 13,859 (190)

CCLCap-AE-AVSS: Cycle consistency loss based capsule autoencoders for audio–visual speech synthesis

Journal of Intelligent Systems
AbstractAudio–visual speech synthesis (AVSS) is a rapidly growing field in the paradigm of audio–visual learning, involving the conversion of one person’s speech into the audio–visual stream of another while preserving the speech content. AVSS comprises two primary components: voice conversion (VC), which alters the vocal characteristics from the ...
Ghosh, Subhayu, Jana, Nanda Dulal, Si, Tapas, Mallik, Saurav, Shah, Mohd Asif   +4 more
openaire   +2 more sources

Method for Detecting Disorder of a Nonlinear Dynamic Plant

Sensors
This paper proposes a new disorder detection method CCF-AE for a scalar dynamic plant based only on its input–output relation using a cross-correlation function and neural network autoencoder.
Xuechun Wang, Vladimir Eliseev
doaj   +1 more source

DSFC-AE: A New Hyperspectral Unmixing Method Based on Deep Shared Fully Connected Autoencoder

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The pervasive presence of mixed pixels in hyperspectral remote sensing imagery poses a substantial constraint on the quantitative progress of remote sensing technology. Hyperspectral unmixing (HU) techniques serve as effective means to address this issue.
Hao Chen, Tao Chen, Yuxiang Zhang, Bo Du, Antonio Plaza   +4 more
openaire   +2 more sources

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

IEEE Transactions on Geoscience and Remote Sensing
Spectral unmixing has been extensively studied with a variety of methods and used in many applications. Recently, data-driven techniques with deep learning methods have obtained great attention to spectral unmixing for its superior learning ability to automatically learn the structure information.
Min Zhao, Jie Chen, Nicolas Dobigeon
openaire   +3 more sources

Exploiting Autoencoder-Based Anomaly Detection to Enhance Cybersecurity in Power Grids

Future Internet
The evolution of smart grids has led to technological advances and a demand for more efficient and sustainable energy systems. However, the deployment of communication systems in smart grids has increased the threat of cyberattacks, which can result in ...
Fouzi Harrou, Benamar Bouyeddou, Abdelkader Dairi, Ying Sun   +3 more
doaj   +1 more source

Green AI architectures: Navigating the security-sustainability paradox in critical infrastructure protection. [PDF]

Environ Sci Ecotechnol
Lee J, Tayerani Charmchi AS, Ghobadi F, Kim MI.   +3 more
europepmc   +1 more source

GAN-based bone suppression using a combined loss function. [PDF]

Front Artif Intell
Jochymek L, Vašinková M, Doleží V, Gajdoš P.   +3 more
europepmc   +1 more source

Rise of the Machine: Detecting Aberrant Response Patterns in Survey Instruments Using Autoencoder. [PDF]

Appl Psychol Meas
Ding C.
europepmc   +1 more source

AI-driven feature recognition of SEM profiles in deep reactive ion etching based on physics-constrained variational autoencoder. [PDF]

Microsyst Nanoeng
Wang F, Yu H, Miao Y, Sun K, Sun Y, Yang H, Li X.   +6 more
europepmc   +1 more source

Early identification of abnormal pulmonary infectious diseases using unsupervised anomaly detection. [PDF]

Quant Imaging Med Surg
Liu R, Zhu Y, Lyu Z, Gao Y, Zhan Y, Zhan Y.   +5 more
europepmc   +1 more source