Search Results - convolutional sparse autoencoder~

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

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

IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network

Authors: M. Ramkumar S. Syed Jamaesha M. S. Gowtham et al.

Source: Signal, Image and Video Processing. 18:3509-3525

Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance the Diagnosis of Alzheimer’s Disease

Authors: Shuiqing Jing Ruohan Li Shiguan Mu et al.

Source: 2023 International Conference on Human-Centered Cognitive Systems (HCCS). :1-6

Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest

Authors: Na Yang Zhenkai Zhang Jianhua Yang et al.

Source: Natural Resources Research. 32:1-18

Subject Terms: 0101 mathematics, 01 natural sciences, 0105 earth and related environmental sciences

Convolutional Sparse Autoencoder for Emotion Recognition

Authors: M. Mohana P. Subashini

Source: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031277610

Aggregating Dual Attention Residual Network and Convolutional Sparse Autoencoder to Enhance Alzheimer's Disease Diagnosis

Authors: Shuiqing Jing Lanlan Li Jianlong Li et al.

Artists Identification Using Convolutional Sparse Autoencoder

Authors: Vinnia Kemala Putri Felix Indra Kurniadi

Source: 2019 5th International Conference on Computing Engineering and Design (ICCED). :1-4

Subject Terms: 4. Education, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9161109
http://xplorestaging.ieee.org/ielx7/9153549/9161075/09161109.pdf?arnumber=9161109

Domain Adaptation with Stacked Convolutional Sparse Autoencoder

Authors: Yi Zhu Xinke Zhou Yun Li et al.

Source: Communications in Computer and Information Science ISBN: 9783030923068

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

Authors: Mohana, M. Subashini, P. Ghinea, George

Source: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-18, 18p

Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes

Authors: Kashyap, Hirak J Fowlkes, Charless C Krichmar, Jeffrey L

Source: IEEE Transactions on Neural Networks and Learning Systems. 32(6)

Subject Terms: Information and Computing Sciences, Computer Vision and Multimedia Computation, Estimation, Dynamics, Optical imaging, Cameras, Training, Adaptive optics, Motion segmentation, Convolutional autoencoder, ego motion, object motion, overcomplete basis, sparse representation, cs.CV, cs.LG, Artificial Intelligence & Image Processing, Artificial intelligence

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/7p53p8zv
https://escholarship.org/content/qt7p53p8zv/qt7p53p8zv.pdf

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder

Authors: Yi Zhu Xinke Zhou Xindong Wu

Source: Applied Sciences, Vol 13, Iss 1, p 481 (2022)

Subject Terms: domain adaptation, convolutional autoencoder, sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

File Description: electronic resource

Relation: https://www.mdpi.com/2076-3417/13/1/481; https://doaj.org/toc/2076-3417

Access URL: https://doaj.org/article/491024e2261147178e7df1a59356e59a

A deep hybrid CSAE-GRU framework with two-stage balancing for automatic epileptic seizure detection using EEG-derived features

Authors: Fei Xiang Mingyue Liu Wenna Chen et al.

Source: Frontiers in Neuroscience, Vol 19 (2025)

Subject Terms: seizure detection, convolutional neural network, gated recurrent unit, sparse autoencoder, borderline synthetic minority oversampling technique, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2025.1698960/full; https://doaj.org/toc/1662-453X

Access URL: https://doaj.org/article/2a3723ccee1d49029288ff3b2996bd8f

RETRACTED: Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction.

Authors: Baviskar, Vaishali Verma, Madhushi Chatterjee, Pradeep et al.

Source: Expert Systems. Dec2024, Vol. 41 Issue 12, p1-20. 20p.

Subject Terms: CONVOLUTIONAL neural networks, MACHINE learning, OPTIMIZATION algorithms, NOSOLOGY, CLASSIFICATION algorithms

Mineralized-Anomaly Identification Based on Convolutional Sparse Autoencoder Network and Isolated Forest.

Authors: Yang, Na Zhang, Zhenkai Yang, Jianhua et al.

Source: Natural Resources Research; Feb2023, Vol. 32 Issue 1, p1-18, 18p

Subject Terms: ADDITION (Mathematics), GENERALIZATION, MINERALIZATION, ORE deposits, PRIOR learning

Geographic Terms: SHAANXI Sheng (China), CHINA

IoT and cloud computing-based automated epileptic seizure detection using optimized Siamese convolutional sparse autoencoder network.

Authors: Ramkumar, M. Jamaesha, S. Syed Gowtham, M. S. et al.

Source: Signal, Image & Video Processing; Jun2024, Vol. 18 Issue 4, p3509-3525, 17p

Detection and classification of transmission line faults based on unsupervised feature learning and convolutional sparse autoencoder

Authors: Kunjin Chen Jun Hu Jinliang He

Source: 2017 IEEE Power & Energy Society General Meeting. :1-1

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: https://dblp.uni-trier.de/db/journals/tsg/tsg9.html#ChenHH18a
http://ieeexplore.ieee.org/document/7539352/
https://ieeexplore.ieee.org/document/7539352
https://ieeexplore.ieee.org/document/8273992/

Attention-enhanced residual autoencoder for NIR spectral feature extraction and classification of grain varieties.

Authors: Kabiso, Abel Chernet Ko, Cheng-Hao

Source: Scientific Reports; 9/24/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: NEAR infrared spectroscopy, DEEP learning, MACHINE learning, CROP yields, AUTOENCODERS, BIOLOGICAL classification, AGRICULTURE

An ECG Signal Encryption and Classification Using Sparse Autoencoder and Optimized Neural Network Techniques.

Authors: Shanmugasundaram, Sumathi Chinnasamy, Murukesh Annaman, Lakshmi Sangeetha

Source: Traitement du Signal. Feb2025, Vol. 42 Issue 1, p557-568. 12p.

Subject Terms: *DATA security, *ARTIFICIAL neural networks, *DATA protection, PATIENT monitoring, ELECTROCARDIOGRAPHY, CLASSIFICATION

Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm.

Authors: Liu, Ting Yan, Shun Wang, Guofeng

Source: Multimedia Tools & Applications; May2024, Vol. 83 Issue 18, p55963-55979, 17p

Subject Terms: SONAR imaging, IMAGE intensifiers, SPECKLE interference, OBJECT recognition (Computer vision), SPECKLE interferometry, TRACKING radar, TRAFFIC noise