Results 91 to 100 of about 13,513 (170)

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

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

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

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

Autoencoder-based conditional optimal transport generative adversarial network for medical image generation

Visual Informatics
Medical image generation has recently garnered significant interest among researchers. However, the primary generative models, such as Generative Adversarial Networks (GANs), often encounter challenges during training, including mode collapse. To address
Jun Wang, Bohan Lei, Liya Ding, Xiaoyin Xu, Xianfeng Gu, Min Zhang   +5 more
doaj   +1 more source

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

A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection

IET Computer Vision
Due to the robustness of skeleton data to human scale, illumination changes, dynamic camera views, and complex backgrounds, great progress has been made in skeleton‐based video anomaly detection in recent years.
Honglei Zhu, Pengjuan Wei, Zhigang Xu
doaj   +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

Deep Learning-Based 3D Reconstruction for Defect Detection in Shipbuilding Sub-Assemblies. [PDF]

Sensors (Basel)
Arcano-Bea P, García-Fischer A, Gómez-González PP, Zayas-Gato F, Calvo-Rolle JL, Quintián H.   +5 more
europepmc   +1 more source

A hybrid stacked autoencoder and support vector machines-based expert system for heart failure detection. [PDF]

Sci Rep
Kamal MM, Khan W, Shambour QY, Gafar MA, Alarifi A, Sheraz M, Chuah TC.   +6 more
europepmc   +1 more source