Autoencoder-based unsupervised clustering and hashing
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01797-y
Abstract: Faced with a large amount of data and high-dimensional data information in a database, the existing exact nearest neighbor retrieval methods cannot obtain ideal retrieval results within an acceptable retrieval time. Therefore, researchers have begun… read more here.
Keywords: autoencoder based; based unsupervised; clustering hashing; unsupervised clustering ... See more keywords
An autoencoder based formulation for compressed sensing reconstruction.
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2018.06.003
Abstract: This work proposes a new formulation for image reconstruction based on the autoencoder framework. The work follows the adaptive approach used in prior dictionary and transform learning based reconstruction techniques. Existing autoencoder based reconstructions are… read more here.
Keywords: reconstruction; autoencoder based; based formulation; autoencoder ... See more keywords
Autoencoder-based detection of near-surface defects in ultrasonic testing.
Sign Up to like & getrecommendations! Published in 2021 at "Ultrasonics"
DOI: 10.1016/j.ultras.2021.106637
Abstract: Defect detection during pulse-echo ultrasonic testing (UT) is challenging when defects are located in a dead zone where the echoes from the defects are overshadowed by disturbances from the initial ringing signal of the UT… read more here.
Keywords: autoencoder based; near surface; ultrasonic testing; surface defects ... See more keywords
Autoencoder based blind source separation for photoacoustic resolution enhancement
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-78310-5
Abstract: Photoacoustics is a promising technique for in-depth imaging of biological tissues. However, the lateral resolution of photoacoustic imaging is limited by size of the optical excitation spot, and therefore by light diffraction and scattering. Several… read more here.
Keywords: autoencoder based; resolution; separation; resolution enhancement ... See more keywords
Autoencoder based image quality metric for modelling semantic noise in semantic communications
Sign Up to like & getrecommendations! Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.13115
Abstract: Semantic communication has attracted significant attention as a key technology for emerging 6G communications. This paper proposes an autoencoder based image quality metric to quantify the semantic noise. An autoencoder is initially trained with the… read more here.
Keywords: quality; autoencoder based; semantic noise; based image ... See more keywords
Autoencoder-based detector for distinguishing process anomaly and sensor failure
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Production Research"
DOI: 10.1080/00207543.2024.2318794
Abstract: Anomaly detection is a frequently discussed topic in manufacturing. However, the issues of anomaly detection are typically attributed to the manufacturing process or equipment itself. In practice, the sensor responsible for collecting data and monitoring… read more here.
Keywords: process; process anomaly; sensor; autoencoder based ... See more keywords
Automated damage detection and localization in acoustic images using autoencoder-based dynamic mode decomposition
Sign Up to like & getrecommendations! Published in 2025 at "Smart Materials and Structures"
DOI: 10.1088/1361-665x/ade20d
Abstract: Quantifying reliability is essential in evaluating and assessing inspection technologies, whether they fall under nondestructive evaluation or structural health monitoring methods. A key challenge in computer vision is uncovering the underlying dynamics of objects within… read more here.
Keywords: detection; based dynamic; autoencoder based; damage ... See more keywords
Autoencoder-based composite drought indices
Sign Up to like & getrecommendations! Published in 2024 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ad4e4f
Abstract: Depending on the type, drought events are described using different indices, such as meteorological, agricultural, and hydrological. The use of different indices often causes confusion for making water-related management decisions. One simple summarized index which… read more here.
Keywords: drought; autoencoder based; mae; composite drought ... See more keywords
Autoencoder-Based Recommender System Exploiting Natural Noise Removal
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262026
Abstract: Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve the performance of the CF-based recommender systems, users’… read more here.
Keywords: system; autoencoder based; noise; based recommender ... See more keywords
Autoencoder-Based Detection of Insulin Pump Faults in Type 1 Diabetes Treatment
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3518233
Abstract: Individuals with type 1 diabetes (T1D) require lifelong insulin replacement to compensate for deficient endogenous insulin secretion, which would otherwise result in abnormal blood glucose levels. In recent years, significant investments have been made to… read more here.
Keywords: autoencoder based; insulin; type diabetes; pump faults ... See more keywords
3D-CNN and Autoencoder-Based Gas Detection in Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3235781
Abstract: The detection of gas emission levels is a crucial problem for ecology and human health. Hyperspectral image analysis offers many advantages over traditional gas detection systems with its detection capability from safe distances. Observing that… read more here.
Keywords: autoencoder based; gas; hyperspectral images; gas detection ... See more keywords