Výsledky vyhledávání - novel stack deep convolutional autoencoder

SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising

Autoři: Swarup Kr Ghosh Biswajit Biswas Anupam Ghosh

Zdroj: IET Image Processing. 13:2778-2789

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

Přístupová URL adresa: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2018.6582
https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6582
https://dblp.uni-trier.de/db/journals/iet-ipr/iet-ipr13.html#GhoshBG19
https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-ipr.2018.6582

Precise single step and multistep short-term photovoltaic parameters forecasting based on reduced deep convolutional stack autoencoder and minimum variance multikernel random vector functional network.

Autoři: Sahani, Mrutyunjaya Choudhury, Sasmita Siddique, Marif Daula a další

Zdroj: Engineering Applications of Artificial Intelligence. Oct2024:Part A, Vol. 136, pN.PAG-N.PAG. 1p.

Témata: *FIELD programmable gate arrays, *SOLAR temperature, *SOLAR power plants, *STATISTICAL correlation, *ENERGY shortages

BrainNet: a fusion assisted novel optimal framework of residual blocks and stacked autoencoders for multimodal brain tumor classification

Autoři: Muhammad Sami Ullah Muhammad Attique Khan Nouf Abdullah Almujally a další

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)

Témata: Brain tumor, Explinable AI, MRI, Residual blocks, Stack encoders, Feature selection, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/46675dc185ec43f2a8fded212bdc5c11

SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising.

Autoři: Ghosh, Swarup Kr Biswas, Biswajit Ghosh, Anupam

Zdroj: IET Image Processing (Wiley-Blackwell); Dec2019, Vol. 13 Issue 14, p2778-2789, 12p

Inpainting non-anatomical objects in brain imaging using enhanced deep convolutional autoencoder network.

Autoři: Kumar, Puranam Revanth Shilpa, B Jha, Rajesh Kumar a další

Zdroj: Sādhanā: Academy Proceedings in Engineering Sciences; Jun2024, Vol. 49 Issue 2, p1-13, 13p

Automatic lung nodule classification using deep learning: CNN architecture.

Autoři: Mukil, A. Andrews, L. J. B. Lai, N. S. a další

Zdroj: AIP Conference Proceedings. 2024, Vol. 3161 Issue 1, p1-10. 10p.

Témata: *ARTIFICIAL neural networks, *CONVOLUTIONAL neural networks, *PULMONARY nodules, *COMPUTER-aided diagnosis, *DEEP learning, *LUNGS

SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data

Autoři: Xiaoliang Fan Lujing Xiao Chuanpan Zheng a další

Zdroj: 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD). :328-333

Témata: 11. Sustainability, 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: http://xplorestaging.ieee.org/ielx7/8529158/8530796/08530861.pdf?arnumber=8530861
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8530861

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals

Autoři: Mrutyunjaya Sahani Susanta Kumar Rout Pradipta Kishor Dash

Zdroj: IEEE Transactions on Biomedical Circuits and Systems. 15:595-605

Témata: Epilepsy, Seizures, 0202 electrical engineering, electronic engineering, information engineering, Humans, Electroencephalography, Signal Processing, Computer-Assisted, Neural Networks, Computer, 02 engineering and technology, Child, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34156948
https://ieeexplore.ieee.org/document/9462442/
https://europepmc.org/article/MED/34156948

Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition

Autoři: Mrutyunjaya Sahani Pradipta Kishore Dash

Zdroj: IEEE Transactions on Instrumentation and Measurement. 70:1-12

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9335941
http://ieeexplore.ieee.org/iel7/19/9259274/09335941.pdf
https://dblp.uni-trier.de/db/journals/tim/tim70.html#SahaniD21

Deep Medical Image Reconstruction with Autoencoders using Deep Boltzmann Machine Training.

Autoři: S., Saravanan Juliet, Sujitha

Zdroj: EAI Endorsed Transactions on Pervasive Health & Technology; 2020, Vol. 6 Issue 24, p1-9, 9p

Témata: MACHINE learning, LOGISTIC regression analysis, STAKEHOLDERS, COMPARATIVE studies, ELECTRONIC health records

Epileptic Seizure Recognition Using Reduced Deep Convolutional Stack Autoencoder and Improved Kernel RVFLN From EEG Signals.

Autoři: Sahani, Mrutyunjaya Rout, Susanta Kumar Dash, Pradipta Kishor

Zdroj: IEEE Transactions on Biomedical Circuits & Systems; Jun2021, Vol. 16 Issue 3, p595-605, 11p

A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.

Autoři: van der Heyden, Brent Uray, Martin Fonseca, Gabriel Paiva a další

Zdroj: Physics in Medicine & Biology; 7/21/2020, Vol. 65 Issue 14, p1-16, 16p

Témata: MONTE Carlo method, CONE beam computed tomography, IMAGE reconstruction algorithms, IMAGE reconstruction, DIGITAL computer simulation, ADIPOSE tissues, SIGNAL-to-noise ratio, ALGORITHMS

Korporace: INTERNATIONAL Organization for Standardization

Seismic data interpolation through convolutional autoencoder

Autoři: Mandelli, Sara Borra, Federico Lipari, Vincenzo a další

Zdroj: SEG Technical Program Expanded Abstracts 2018. :4101-4105

Témata: Geophysics, 01 natural sciences, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://onepetro.org/SEGAM/proceedings/SEG18/All-SEG18/SEG-2018-2995428/104341
https://re.public.polimi.it/handle/11311/1086339
https://www.onepetro.org/conferences/SEG/SEG18
https://doi.org/10.1190/segam2018-2995428.1
https://hdl.handle.net/11311/1086339

Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets.

Autoři: Ullah S Wu J Lin Z a další

Zdroj: Scientific reports [Sci Rep] 2025 Aug 23; Vol. 15 (1), pp. 31072. Date of Electronic Publication: 2025 Aug 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Deep‐Learning‐Based Adjoint State Method: Methodology and Preliminary Application to Inverse Modeling.

Autoři: Xiao, Cong Deng, Ya Wang, Guangdong

Zdroj: Water Resources Research; Feb2021, Vol. 57 Issue 2, p1-20, 20p

Témata: CONVOLUTIONAL neural networks, PARAMETER estimation, DEEP learning, TWO-dimensional models

Skin Lesion Synthesis and Classification Using an Improved DCGAN Classifier.

Autoři: Behara, Kavita Bhero, Ernest Agee, John Terhile

Zdroj: Diagnostics (2075-4418); Aug2023, Vol. 13 Issue 16, p2635, 29p

Témata: GENERATIVE adversarial networks, DEEP learning, CONVOLUTIONAL neural networks, DATA augmentation, SKIN imaging

Deep learning frameworks with applications in medical signal and image classification

Autoři: Jia, Guangyu Lam, Hak-Keung Liu, Hongbin

Přispěvatelé: Jia, Guangyu Lam, Hak-Keung Liu, Hongbin

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.846523

Interpretable unsupervised learning enables accurate clustering with high-throughput imaging flow cytometry.

Autoři: Zhang, Zunming Chen, Xinyu Tang, Rui a další

Zdroj: Scientific Reports; 11/23/2023, Vol. 13 Issue 1, p1-11, 11p

Témata: FLOW cytometry, LEUKOCYTES, CELL analysis, THREE-dimensional imaging, CELL culture, IMAGE representation

Multilayer Fisher extreme learning machine for classification

Autoři: Jie Lai Xiaodan Wang Qian Xiang a další

Zdroj: Complex & Intelligent Systems, Vol 9, Iss 2, Pp 1975-1993 (2022)

Témata: Extreme learning machine, Deep learning, Representation learning, Autoencoder, Fisher criterion, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

Přístupová URL adresa: https://doaj.org/article/d10de9068658478a9a68daf87ca6ce5e

Target Object Recognition Using Multiresolution SVD and Guided Filter with Convolutional Neural Network.

Autoři: Biswas, Biswajit Ghosh, Swarup Kr Ghosh, Anupam a další

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence; Nov2020, Vol. 34 Issue 12, pN.PAG-N.PAG, 26p

Témata: CONVOLUTIONAL neural networks, IMAGE fusion, SINGULAR value decomposition, COMPUTER vision, FILTERS & filtration