Results 41 to 50 of about 3,700 (193)
Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection
Remote Sensing, 2023 Hyperspectral anomaly detection (HAD) is an important technique used to identify objects with spectral irregularity that can contribute to object-based image analysis.
Nan Wang +5 more
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IEEE Access, 2021 Efficient modeling of high-dimensional data requires extracting only relevant dimensions through feature learning. Unsupervised feature learning has gained tremendous attention due to its unbiased approach, no need for prior knowledge or expensive manual
Chathurika S. Wickramasinghe +2 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 SensingThe 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 +4 more
openalex +3 more sources
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders [PDF]
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)Zhangsihao Yang +3 more
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Applied SciencesNeural network models, such as BP, LSTM, etc., support only numerical inputs, so data preprocessing needs to be carried out on the categorical variables to convert them into numerical data.
Yiying Wang +4 more
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Hyperspectral anomaly detection via memory‐augmented autoencoders
CAAI Transactions on Intelligence Technology, 2023 Recently, the autoencoder (AE) based method plays a critical role in the hyperspectral anomaly detection domain. However, due to the strong generalised capacity of AE, the abnormal samples are usually reconstructed well along with the normal background ...
Zhe Zhao, Bangyong Sun
doaj +1 more source
Health Prognostics Classification with Autoencoders for Predictive Maintenance of HVAC Systems
Energies, 2023 Buildings’ heating, ventilation, and air-conditioning (HVAC) systems account for significant global energy use. Proper maintenance can minimize their environmental footprint and enhance the quality of the indoor environment.
Ruiqi Tian +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder
Sensors, 2022 As an essential task in computer vision, video anomaly detection technology is used in video surveillance, scene understanding, road traffic analysis and other fields.
Bokun Wang, Caiqian Yang
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Fibroblast Transcriptomics in Molecular Diagnostics of a Comprehensive Dystonia Cohort
Annals of Neurology, EarlyView.Objective Genomic sequencing leaves >50% of dystonia‐affected individuals without a diagnosis. Where DNA‐oriented approaches remain insufficient, integrating multiomics is essential to advance genome interpretation. Herein, we incorporated RNA sequencing (RNA‐seq) data from 167 patients with dystonia across a range of ages and presentations. Methods We
Alice Saparov +42 more
wiley +1 more source