Výsledky vyhledávání - convolutional sparse autoencoder

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

Autoři: Qin, Yahang Li, Zhenni Xie, Shengli a další

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

Témata: 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

Autoři: M. Mohana P. Subashini George Ghinea

Zdroj: Signal, Image and Video Processing. 19

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

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

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

Autoři: M. Ramkumar S. Syed Jamaesha M. S. Gowtham a další

Zdroj: 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

Autoři: Shuiqing Jing Ruohan Li Shiguan Mu a další

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

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

Autoři: Na Yang Zhenkai Zhang Jianhua Yang a další

Zdroj: Natural Resources Research. 32:1-18

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

Convolutional Sparse Autoencoder for Emotion Recognition

Autoři: M. Mohana P. Subashini

Zdroj: 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

Autoři: Shuiqing Jing Lanlan Li Jianlong Li a další

Artists Identification Using Convolutional Sparse Autoencoder

Autoři: Vinnia Kemala Putri Felix Indra Kurniadi

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

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

Přístupová URL adresa: 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

Autoři: Yi Zhu Xinke Zhou Yun Li a další

Zdroj: Communications in Computer and Information Science ISBN: 9783030923068

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

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

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

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

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

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

Témata: 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

Popis souboru: application/pdf

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

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder

Autoři: Yi Zhu Xinke Zhou Xindong Wu

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/491024e2261147178e7df1a59356e59a

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

Autoři: Fei Xiang Mingyue Liu Wenna Chen a další

Zdroj: Frontiers in Neuroscience, Vol 19 (2025)

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/2a3723ccee1d49029288ff3b2996bd8f

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

Autoři: Baviskar, Vaishali Verma, Madhushi Chatterjee, Pradeep a další

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

Témata: CONVOLUTIONAL neural networks, MACHINE learning, OPTIMIZATION algorithms, NOSOLOGY, CLASSIFICATION algorithms

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

Autoři: Yang, Na Zhang, Zhenkai Yang, Jianhua a další

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

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

Geografický termín: SHAANXI Sheng (China), CHINA

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

Autoři: Ramkumar, M. Jamaesha, S. Syed Gowtham, M. S. a další

Zdroj: 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

Autoři: Kunjin Chen Jun Hu Jinliang He

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

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

Přístupová URL adresa: 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/

Findings from Department of Computer Sciences and Engineering Yields New Data on Cardiovascular Diseases and Conditions (Self-attention-based Deep Convolutional Sparse Dense Autoencoder Model With Chebyshev-based Osprey Algorithm for...).

Zdroj: Cardiovascular Week; 10/13/2025, p364-364, 1p

Témata: CARDIOVASCULAR diseases, CONVOLUTIONAL neural networks, FEATURE extraction, DATA analysis, STATISTICAL accuracy, DEEP learning, ELECTROCARDIOGRAPHY, MEDICAL screening

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

Autoři: Kabiso, Abel Chernet Ko, Cheng-Hao

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

Témata: 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.

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

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

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