Search Results - Multi-scale sparse autoencoder*

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade

Authors: Yi, Letian Zhang, Tingpeng Zhou, Mingyuan et al.

Subject Terms: Machine Learning, Artificial Intelligence, Applied Physics

Relation: http://arxiv.org/abs/2512.01572

Availability: http://arxiv.org/abs/2512.01572

PolSAR image classification based on multi-scale stacked sparse autoencoder

Authors: Lu Zhang Licheng Jiao Wenping Ma et al.

Source: Neurocomputing. 351:167-179

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S0925231219303649
https://dblp.uni-trier.de/db/journals/ijon/ijon351.html#ZhangJMDZ19
http://www.sciencedirect.com/science/article/pii/S0925231219303649

An industrial process monitoring method based on fusion of multi-scale sparse autoencoder and dual-branch slow feature architecture.

Authors: Ling, Guobi Wang, Zhiwen Wang, Jieying et al.

Source: Chemical Engineering Science. Feb2026:Part C, Vol. 321, pN.PAG-N.PAG. 1p.

Subject Terms: *FAULT diagnosis, *PROCESS optimization, *STATISTICAL correlation, *ARTIFICIAL neural networks, *MANUFACTURING process management

ESAE-SDA: ensemble sparse autoencoder framework for epigenomics-informed snoRNA-disease associations prediction.

Authors: Jiang, Xinqing Chen, Xiaojun Xu, Lifeng et al.

Source: BMC Bioinformatics; 10/31/2025, Vol. 26 Issue 1, p1-18, 18p

Subject Terms: EPIGENOMICS, NON-coding RNA, GENE expression, ARTIFICIAL intelligence, ENSEMBLE learning, AUTOENCODERS, DISEASE complications

DAR-MDE: Depth-Attention Refinement for Multi-Scale Monocular Depth Estimation.

Authors: Abdulwahab, Saddam Rashwan, Hatem A. El-Melegy, Moumen T. et al.

Source: Journal of Sensor & Actuator Networks; Oct2025, Vol. 14 Issue 5, p90, 28p

Subject Terms: AUTOENCODERS, DEPTH maps (Digital image processing), THREE-dimensional imaging, REAL-time computing

Research on Deep Adaptive Clustering Method Based on Stacked Sparse Autoencoders for Concrete Truck Mixers Driving Conditions.

Authors: Huang, Ying Jiang, Fachao Xie, Haiming

Source: World Electric Vehicle Journal; Oct2025, Vol. 16 Issue 10, p581, 18p

Subject Terms: CONCRETE mixers, MOTOR vehicle driving, CLUSTERING algorithms, ARTIFICIAL neural networks, FEATURE extraction, K-means clustering, DIMENSIONAL reduction algorithms

Multi-scale geometric transformer for sparse-view X-ray 3D foot reconstruction.

Authors: Wang, Wei An, Li Han, Gengyin

Source: Journal of X-Ray Science & Technology; Jul2025, Vol. 33 Issue 4, p776-787, 12p

Subject Terms: TRANSFORMER models, X-ray imaging, IMAGE reconstruction, FEATURE extraction, LEARNING strategies

EA: An Event Autoencoder for High-Speed Vision Sensing

Authors: Riadul Islam Joey Mulé Dhandeep Challagundla et al.

Subject Terms: FOS: Computer and information sciences, UMBC Multi-Scale Thermal Transport Research Lab, Artificial Intelligence (cs.AI), UMBC VLSI-SOC GROUP, UMBC Cybersecurity Institute, Artificial Intelligence, Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2507.06459

Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding

Authors: Das, Sourya Dipta Dutta, Saikat Shah, Nisarg A. et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2201.11506

Enhancing the robustness of the 1-D CNN model through NIRS data augmentation based on sparse autoencoder and CARS feature selection for mango DMC determination.

Authors: Yang, Dongfeng Hu, Jun

Source: Journal of Food Composition & Analysis. Dec2025:Part 3, Vol. 148, pN.PAG-N.PAG. 1p.

HVI-Based Spatial–Frequency-Domain Multi-Scale Fusion for Low-Light Image Enhancement.

Authors: Zhang, Yuhang Zheng, Huiying Xu, Xinya et al.

Source: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10376, 16p

Subject Terms: FOURIER transforms, COLOR space, IMAGE processing, FEATURE extraction, NIGHT photography, AUTOENCODERS, FREQUENCY-domain analysis

WOT-AE: Weighted Optimal Transport Autoencoder for Patterned Fabric Defect Detection.

Authors: Yang, Hui Kang, Linyan Yang, Tianjin

Source: Symmetry (20738994); Nov2025, Vol. 17 Issue 11, p1829, 18p

Subject Terms: TEXTILES, AUTOENCODERS, MATRIX decomposition, MACHINE learning, SYMMETRY, OUTLIER detection

Rethinking link prediction: A multi-scale graph masked autoencoder.

Authors: Zhang, Guotai Zuo, Enguang Yan, Ziwei et al.

Source: Neurocomputing. Feb2026, Vol. 664, pN.PAG-N.PAG. 1p.

SRMFormer: A Physiological-Prior Multi-Scale Periodic Attention Transformer with Raw-Video MAE for Remote Physiological Measurement.

Authors: Zhang, Libin Peng, Tao Li, Xiaolu et al.

Source: Signal, Image & Video Processing; Oct2025, Vol. 19 Issue 10, p1-9, 9p

Spatial-Frequency-Scale Variational Autoencoder for Enhanced Flow Diagnostics of Schlieren Data.

Authors: Yang, Ronghua Wu, Hao Yang, Rongfei et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6233, 29p

Subject Terms: FLUID dynamics, AUTOENCODERS, FLOW visualization, FOURIER transforms, DEEP learning, FEATURE extraction, FORECASTING

A Multi-Scale Unsupervised Feature Extraction Network with Structured Layer-Wise Decomposition.

Authors: Günaydın, Yusuf Şevki Şen, Baha

Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7194, 18p

Subject Terms: FEATURE extraction, MULTIPLE scale method, MACHINE learning, AUTOENCODERS, CALCULUS of variations, IMAGE segmentation

Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders.

Authors: Wang, Yao Lei, Xiujuan Chen, Yuli et al.

Source: International Journal of Molecular Sciences; Feb2025, Vol. 26 Issue 4, p1509, 20p

Subject Terms: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, AUTOENCODERS, CIRCULAR RNA, DRUG target

SPARSE-OTFS-Net: A Sparse Robust OTFS Signal Detection Algorithm for 6G Ubiquitous Coverage.

Authors: Ling, Yunzhi Xu, Jun

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3532, 17p

Subject Terms: 6G networks, SIGNAL detection, DEEP learning, INTERFERENCE suppression, ELECTRONIC modulation, DOPPLER effect

Sparse deep encoded features with enhanced sinogramic red deer optimization for fault inspection in wafer maps.

Authors: Altantawy, Doaa A. Yakout, Mohamed A.

Source: Journal of Intelligent Manufacturing; Jun2025, Vol. 36 Issue 5, p3359-3397, 39p

Subject Terms: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, AUTOENCODERS, MANUFACTURING processes, INFORMATION processing

Modeling hierarchical functional brain networks via -normalized attention fully convolutional recurrent autoencoder for multi-task fMRI data.

Authors: Liu, Huan Cui, Puwang Zhang, Minye et al.

Source: Pattern Analysis & Applications; Dec2025, Vol. 28 Issue 4, p1-16, 16p