Search Results - Sparse autoencoder

Channel Estimation and Pilot Design for Uplink Sparse Code Multiple Access System Based on Complex-Valued Sparse Autoencoder

Authors: Quan Yuan Dezhi Li Zhenyong Wang et al.

Source: IEEE Access, Vol 13, Pp 123559-123569 (2025)

Subject Terms: Sparse code multiple access, Internet of Things, channel estimation, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, massive connection, sparse pilot structure, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, complex-valued sparse autoencoder, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/08667100.pdf
https://doaj.org/article/fbe5140ccf6b4575b898c315f16c8e7b
https://ieeexplore.ieee.org/document/8667100/

Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM

Authors: Qin, Yahang Li, Zhenni Xie, Shengli et al.

Source: Tsinghua Science and Technology. 30:68-86

Subject Terms: Satellites, Multipath classification, BeiDou Navigation Satellite System (BDS), Solid modeling, Three-dimensional displays, Long short-term memory (LSTM), Convolutional sparse autoencoder, Interference, Urban areas, Convolution, Long short term memory

An Enhanced Intrusion Detection System Using Attention-Based Stacked Sparse Autoencoder Feature Extraction

Authors: Venkata Ramani Varanasi Razia Shaik

Source: Engineering, Technology & Applied Science Research. 15:24436-24441

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

Authors: Xinqing Jiang Xiaojun Chen Lifeng Xu et al.

Source: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-18 (2025)

Subject Terms: Epigenomics, snoRNA-disease associations (SDAs), Ensemble learning framework, Sparse autoencoder, Dynamically sampling, Artificial intelligence (AI), Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2105

Access URL: https://doaj.org/article/4a1813752009454491f25e2b31390236

Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification

Authors: Xuansheng Wu Wenhao Yu Xiaoming Zhai et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :3250-3260

Subject Terms: FOS: Computer and information sciences, Computation and Language, Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2502.14133

A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction

Authors: Abdussamad Hanita Daud Rajalingam Sokkalingam et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Subject Terms: Autoencoder, Deep learning, Diabetes prediction, Feature selection, Machine learning, Sparse data, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/2fea4da469ce4f14bd82089d355a10f4

Intelligent guidance system for the visually impaired person using a lightweight YOLOv4-based object detection and sparse autoencoder framework

Authors: Alaa O. Khadidos Ayman Yafoz

Source: Journal of the Chinese Institute of Engineers. :1-21

SAGEA: Sparse Autoencoder-based Group Embeddings Aggregation for Fairness-Preserving Group Recommendations

Authors: Vít Koštejn Ladislav Peška Martin Spišák

Source: Proceedings of the Nineteenth ACM Conference on Recommender Systems. :1290-1295

Drive-by damage detection and localization exploiting continuous wavelet transform and multiple sparse autoencoders

Authors: Lorenzo Bernardini Francesco Morgan Bono Andrea Collina

Source: Railway Engineering Science, Vol 33, Iss 4, Pp 721-745 (2025)

Subject Terms: Drive-by, Sparse autoencoder, Steel truss railway bridge, Continuous wavelet transform, Damage detection, Damage localization, Railroad engineering and operation, TF1-1620

File Description: electronic resource

Relation: https://doaj.org/toc/2662-4745; https://doaj.org/toc/2662-4753

Access URL: https://doaj.org/article/36553b70af354470bfab169610f35260

Intelligent evaluation method for identifying favorable shale oil areas based on improved stacked sparse autoencoder

Authors: Rui Xu Tie Yan Shihui Sun et al.

Source: Oil Shale, Vol 42, Iss 1, Pp 79-114 (2025)

Subject Terms: autoencoder, semi-supervised learning, Technology, Q1-390, Science (General), batch normalization, shale oil, favorable area

Real-Time Cloud Intrusion Detection with SpinalSAENet: A Sparse Autoencoder Approach with Focal Loss Optimization

Authors: null N. Savitha

Source: Journal of Information Systems Engineering and Management. 10:54-69

Research on a face data processing method based on sparse autoencoder neural networks

Authors: Zhipeng Chen Shenda Yu

Source: IET Conference Proceedings. 2024:325-330

A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders

Authors: Jorge Magalhães Tomás Jorge Rúben Silva et al.

Contributors: Jorge Magalhães Tomás Jorge Rúben Silva et al.

Source: Railway Engineering Science, Vol 32, Iss 4, Pp 421-443 (2024)

Subject Terms: Railroad engineering and operation, Wayside condition monitoring, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, TF1-1620, Damage identification, Passenger trains, OOR wheel damage, Sparse autoencoder, 0201 civil engineering

File Description: application/pdf

Access URL: https://doaj.org/article/3756a7b582fe4bbca9b9a96603091c57
https://hdl.handle.net/10216/166705

GRU‐based stacked sparse autoencoder with attention mechanism for process monitoring

Authors: Zengdi Miao Ping Wu Zhenquan Wu et al.

Source: The Canadian Journal of Chemical Engineering. 103:3767-3785

Sparse Autoencoder Insights on Voice Embeddings

Authors: Pluth, Daniel Zhou, Yu Gurbani, Vijay K.

Source: 2025 Conference on Artificial Intelligence x Multimedia (AIxMM). :1-6

Subject Terms: FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2502.00127

XAI-DSCSA: explainable-AI-based deep semi-supervised convolutional sparse autoencoder for facial expression recognition

Authors: M. Mohana P. Subashini George Ghinea

Source: Signal, Image and Video Processing. 19

Subject Terms: autoencoder, semi-supervised learning, convolutional sparse autoencoder, facial expression recognition, feature representation, unsupervised learning

Access URL: https://bura.brunel.ac.uk/handle/2438/31141

Mammo-SAE : Interpreting Breast Cancer Concept Learning with Sparse Autoencoders

Authors: Nakka, Krishna Kanth

Source: Lecture Notes in Computer Science ISBN: 9783032055583

Subject Terms: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2507.15227

Time-Inferred Sparse Autoencoder for Improved Full-Field Reconstruction from Sparse Measurements

Authors: Nitin Nagesh Kulkarni Alessandro Sabato

Source: Computer Vision & Laser Vibrometry, Vol. 6 ISBN: 9788743804277

Latent Feature‐Based Type 2 Diabetes Prediction Using a Hybrid Stacked Sparse Autoencoder and Machine Learning Models

Authors: Abdussamad Hanita Daud Rajalingam Sokkalingam et al.

Source: Engineering Reports, Vol 7, Iss 9, Pp n/a-n/a (2025)

Subject Terms: autoencoder, hybrid model, machine learning models, sparse data, Type 2 diabetes prediction, Engineering (General). Civil engineering (General), TA1-2040, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2577-8196

Access URL: https://doaj.org/article/ce842a66c11744049ad6331118fec323

Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis

Authors: N. Bharanidharan S. R. Sannasi Chakravarthy Vinoth Kumar Venkatesan et al.

Source: IEEE Access, Vol 12, Pp 39285-39299 (2024)

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, sparse autoencoder, remora optimization, deep learning, Electrical engineering. Electronics. Nuclear engineering, entropy, Cancer, dimensionality reduction, TK1-9971, 3. Good health

Access URL: https://doaj.org/article/7ab98ced2df543f4a7786cd88221ce0e