Search Results - "deep stacked sparse autoencoder"

DSSAE: Deep Stacked Sparse Autoencoder Analytical Model for COVID-19 Diagnosis by Fractional Fourier Entropy

Authors: ZhangXin ZhangYu-Dong WangShui-Hua

Source: ACM Transactions on Management Information Systems. 13:1-20

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

Access URL: https://dl.acm.org/doi/10.1145/3451357
https://dlnext.acm.org/doi/abs/10.1145/3451357

Pseudo Zernike Moment and Deep Stacked Sparse Autoencoder for COVID-19 Diagnosis

Authors: Muhammad Attique Khan Yudong Zhang Shuihua Wang et al.

Source: Computers, Materials & Continua. 69:3145-3162

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

Access URL: https://www.techscience.com/ueditor/files/cmc/TSP_CMC_69-3/TSP_CMC_18040/TSP_CMC_18040.pdf
https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1389995
https://doi.org/10.32604/cmc.2021.018040
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1389995
https://www.techscience.com/cmc/v69n3/44144/pdf

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network

Authors: Muhammad Aqeel Aslam Cuili Xue Yunsheng Chen et al.

Source: Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)

Subject Terms: Medicine, Science

File Description: electronic resource

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

Access URL: https://doaj.org/article/6edaf71c76934a3491833917528d380d

Efficient color image retrieval method using deep stacked sparse autoencoder

Authors: Mandar Kale Sudipta Mukhopadhyay

Source: Journal of Electronic Imaging. 31

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

DS2AN: Deep stacked sparse autoencoder for secure and fast authentication in HetNets

Authors: Hemavathi S. Akhila Samreen Zubeda et al.

Source: SECURITY AND PRIVACY. 5

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

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder

Authors: Shui-Hua Wang Suresh Chandra Satapathy Qinghua Zhou et al.

Source: J Grid Comput

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

Access URL: https://link.springer.com/content/pdf/10.1007/s10723-021-09596-6.pdf
https://pubmed.ncbi.nlm.nih.gov/34931118

Five-category classification of pathological brain images based on deep stacked sparse autoencoder

Authors: Shuihua Wang Wen-Juan Jia Yudong Zhang et al.

Source: Multimedia Tools and Applications. 78:4045-4064

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, 3. Good health

Access URL: https://link.springer.com/article/10.1007%2Fs11042-017-5174-z
https://dblp.uni-trier.de/db/journals/mta/mta78.html#0001MWZ19

Single stuck-at-faults detection using test generation vector and deep stacked-sparse-autoencoder

Authors: Razieh Malihi Leila Malihi

Source: SN Applied Sciences. 2

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

Access URL: https://link.springer.com/content/pdf/10.1007/s42452-020-03460-0.pdf
https://link.springer.com/content/pdf/10.1007/s42452-020-03460-0.pdf
https://link.springer.com/article/10.1007/s42452-020-03460-0

Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble

Authors: Li, Yongming Lei, Yan Wang, Pin et al.

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2002.06761

K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder

Authors: Yandong Bi Peng Wang Xuchao Guo et al.

Source: Sensing and Imaging. 20

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences

Access URL: https://link.springer.com/article/10.1007/s11220-019-0227-1
https://ui.adsabs.harvard.edu/abs/2019SenIm..20....6B/abstract

Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model

Authors: Bahjat Fakieh Abdullah S. AL-Malaise AL-Ghamdi Mahmoud Ragab

Source: Healthcare (Basel)
Healthcare; Volume 10; Issue 6; Pages: 1040

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, osteosarcoma, computer aided diagnosis, medical images, deep transfer learning, image processing, Article, 3. Good health

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/35742091

Spectral–spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder

Authors: Abdi, Ghasem Farhad, Samadzadegan Reinartz, Peter

Source: Journal of Applied Remote Sensing. 11:1

Subject Terms: Photogrammetrie und Bildanalyse, deep features, 13. Climate action, stacked sparse autoencoder, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, deep learning, hyperspectral imagery classification, 02 engineering and technology, softmax regression, spectral-spatial unsupervised feature learning

File Description: application/pdf

Access URL: https://elib.dlr.de/115655/1/Abdi_JARS-170368SS_online.pdf
https://ui.adsabs.harvard.edu/abs/2017JARS...11d2604A/abstract
https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-11/issue-04/042604/Spectralspatial-feature-learning-for-hyperspectral-imagery-classification-using-deep-stacked/10.1117/1.JRS.11.042604.full
https://elib.dlr.de/115655/
https://elib.dlr.de/115655/
https://doi.org/10.1117/1.jrs.11.042604
https://elib.dlr.de/115655/

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network.

Authors: Aslam, Muhammad Aqeel Xue, Cuili Chen, Yunsheng et al.

Source: Scientific Reports; 2/17/2021, Vol. 11 Issue 1, p1-12, 12p

Subject Terms: STOMACH cancer, DEEP learning, NEURAL circuitry, MORTALITY, COMPUTER-aided design

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder

Authors: SH Wang SC Satapathy Q Zhou et al.

Subject Terms: Science & Technology, Technology, Computer Science, Information Systems, Theory & Methods, Secondary pulmonary tuberculosis, pseudo-Zernike moment, Sparse autoencoder, Machine learning, Deep learning

Relation: 2381/18622427.v1

Availability: https://figshare.com/articles/journal_contribution/Secondary_Pulmonary_Tuberculosis_Identification_Via_pseudo-Zernike_Moment_and_Deep_Stacked_Sparse_Autoencoder/18622427

Pseudo Zernike Moment and Deep Stacked Sparse Autoencoder for COVID-19 Diagnosis.

Authors: Yu-Dong Zhang Khan, Muhammad Attique Ziquan Zhu et al.

Source: Computers, Materials & Continua; 2021, Vol. 69 Issue 3, p3145-3162, 18p

Subject Terms: COVID-19 testing, DEEP learning, DATA augmentation, SPECKLE interference, COMPUTER vision

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder.

Authors: Wang, Shui-Hua Satapathy, Suresh Chandra Zhou, Qinghua et al.

Source: Journal of Grid Computing; Mar2022, Vol. 20 Issue 1, p1-16, 16p

Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model.

Authors: Fakieh, Bahjat AL-Ghamdi, Abdullah S. AL-Malaise Ragab, Mahmoud

Source: Healthcare (2227-9032); Jun2022, Vol. 10 Issue 6, p1040-1040, 18p

Subject Terms: OSTEOSARCOMA, COMPUTER-aided diagnosis, COMPUTER-assisted image analysis (Medicine), DEEP learning, BONE cancer

Five-category classification of pathological brain images based on deep stacked sparse autoencoder.

Authors: Jia, Wenjuan Muhammad, Khan Wang, Shui-Hua et al.

Source: Multimedia Tools & Applications; Feb2019, Vol. 78 Issue 4, p4045-4064, 20p

Subject Terms: MAGNETIC resonance imaging, ENCODING, COMPUTED tomography, IMAGE processing, CONJUGATE gradient methods

SECONDARY PULMONARY TUBERCULOSIS RECOGNITION BY ROTATION ANGLE VECTOR GRID-BASED FRACTIONAL FOURIER ENTROPY: Secondary pulmonary tuberculosis recognition by rotation angle vector grid-based fractional Fourier entropy

Authors: Yeliz Karaca Yudong Zhang Shuihua Wang et al.

Source: Fractals. 30

Subject Terms: Biomedical imaging and signal processing, fractional Fourier entropy, deep learning, 02 engineering and technology, fractional Fourier transform, 3. Good health, multiple-way data augmentation, Fourier and Fourier-Stieltjes transforms and other transforms of Fourier type, Fractional derivatives and integrals, rotation angle vector grid, 0202 electrical engineering, electronic engineering, information engineering, secondary pulmonary tuberculosis, recognition, deep stacked sparse autoencoder

File Description: application/xml

Access URL: https://zbmath.org/7490683
https://doi.org/10.1142/s0218348x22400473
https://www.worldscientific.com/doi/pdf/10.1142/S0218348X22400473

A hybrid metaheuristic federated learning approach based attack detection system for multi-cloud environment.

Authors: Verma, Rashmi Jailia, Manisha

Source: Journal of Cloud Computing (2192-113X); 11/27/2025, Vol. 14 Issue 1, p1-22, 22p

Subject Terms: FEDERATED learning, CLOUD computing, CLOUD computing security measures, INTRUSION detection systems (Computer security), DATA privacy, ANOMALY detection (Computer security), MACHINE learning, METAHEURISTIC algorithms