Výsledky vyhledávání - convolutional neural network autoencoder

Adaptive hybrid convolutional neural network-autoencoder framework for backdoor detection in GenAI-driven semantic communication systems

Autoři: Hassan El Alami Danda B. Rawat

Zdroj: ITU Journal on Future and Evolving Technologies. 6:309-321

Data-driven modeling of transonic nonlinear flutter via convolutional neural network autoencoder

Autoři: Zhijie Peng Xiangjie Yao Haojie Liu a další

Zdroj: Nonlinear Dynamics. 113:15741-15760

High-Resolution Daily XCH 4 Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data.

Autoři: Awad, Mohamad M. Homayouni, Saeid

Zdroj: Atmosphere. Jul2025, Vol. 16 Issue 7, p806. 18p.

Témata: *ATMOSPHERIC methane, *CONVOLUTIONAL neural networks, *ENVIRONMENTAL degradation, *CLIMATE change, *INTERPOLATION, *ENVIRONMENTAL monitoring, *REMOTE sensing

Cascade Convolutional Neural Network - Autoencoder Method for Parkinson’s Disease Detection Using Multilingual Voice Signal

Autoři: Pandit Vivek Kumar Pandey Sitanshu Sekhar Sahu

Zdroj: SN Computer Science. 6

Plantar Pressure-Based Gait Recognition with and Without Carried Object by Convolutional Neural Network-Autoencoder Architecture.

Autoři: Wu, Chin-Cheng Tsai, Cheng-Wei Wu, Fei-En a další

Zdroj: Biomimetics (2313-7673). Feb2025, Vol. 10 Issue 2, p79. 19p.

Témata: *CONVOLUTIONAL neural networks, *AUTOENCODERS, *FEATURE extraction

CAD-Skin: A Hybrid Convolutional Neural Network–Autoencoder Framework for Precise Detection and Classification of Skin Lesions and Cancer.

Autoři: Khan, Abdullah Sajid, Muhammad Zaheer Khan, Nauman Ali a další

Zdroj: Bioengineering (Basel). Apr2025, Vol. 12 Issue 4, p326. 31p.

Témata: *MACHINE learning, *CONVOLUTIONAL neural networks, *ARTIFICIAL intelligence, *DATA augmentation, *SKIN cancer, *DEEP learning

Unveiling Irregular Heart Rhythms: Utilizing a Pretrained ResNet50 Convolutional Neural Network Autoencoder Strategy for Detecting Anomalies in ECG Signals

Autoři: Muskan Agarwal Kanwarpartap Singh Gill Priyanshi Aggarwal a další

Zdroj: 2024 2nd World Conference on Communication & Computing (WCONF). :1-4

A 3d convolutional neural network autoencoder for predicting solvent configuration changes in condensed phase biomass reactions

Autoři: Anjana Puliyanda Arul Mozhi Devan Padmanathan Samir H. Mushrif a další

Zdroj: Digital Discovery. 3:1130-1143

Témata: 01 natural sciences, 0104 chemical sciences

Anomaly-Based Drone Classification Using a Model Trained Convolutional Neural Network Autoencoder on Radar Micro-Doppler

Autoři: Alexander Karlsson Magnus Jansson Mikael Hämäläinen

Zdroj: 2023 IEEE International Radar Conference (RADAR). :1-6

Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

Autoři: Sergio Saponara Abdussalam Elhanashi Qinghe Zheng

Zdroj: IEEE Access, Vol 9, Pp 147888-147899 (2021)

Témata: autoencoder, convolution neural networks, General Computer Science, feature extraction, General Engineering, Fingerprint images, 02 engineering and technology, Autoencoder, Convolution neural networks, Feature extraction, System identification, TK1-9971, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Electrical engineering. Electronics. Nuclear engineering, Knowmad Institut, system identification

Přístupová URL adresa: https://doaj.org/article/dcba48f5a187474189ffe3a7e3b2a461
https://dblp.uni-trier.de/db/journals/access/access9.html#SaponaraEZ21
https://ieeexplore.ieee.org/document/9598889/
https://www.openaccessrepository.it/record/142261

Reconstruction of missing data in satellite images of the Southern North Sea using a convolutional neural network (DINCAE)

Autoři: Barth, Alexander Alvera Azcarate, Aida Troupin, Charles a další

Přispěvatelé: Barth, Alexander Alvera Azcarate, Aida Troupin, Charles a další

Zdroj: 2021 IGARSS: IEEE International Geoscience & Remote Sensing Symposium. Proceedings : July 12-16, 2021, Brussels (Belgium) (2021); 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), from 2021-07-12 to 2021-07-16

Témata: DINCAE, neural network, autoencoder, Physical, chemical, mathematical & earth Sciences, Earth sciences & physical geography, Physique, chimie, mathématiques & sciences de la terre, Sciences de la terre & géographie physique

Přístupová URL adresa: https://orbi.uliege.be/handle/2268/261471

Anomaly Detection of Hydropower Bearing Based on Convolutional Neural Network Autoencoder

Autoři: Liyong Ma Hongteng Wang Lianfang Wang

Zdroj: 2021 IEEE 4th International Conference on Computer and Communication Engineering Technology (CCET). :430-433

Témata: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=9544462
http://xplorestaging.ieee.org/ielx7/9544087/9544108/09544462.pdf?arnumber=9544462

Circular RNA-Drug Association Prediction Based on Multi-Scale Convolutional Neural Networks and Adversarial Autoencoders.

Autoři: Wang Y Lei X Chen Y a další

Zdroj: International journal of molecular sciences [Int J Mol Sci] 2025 Feb 11; Vol. 26 (4). Date of Electronic Publication: 2025 Feb 11.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101092791 Publication Model: Electronic Cited Medium: Internet ISSN: 1422-0067 (Electronic) Linking ISSN: 14220067 NLM ISO Abbreviation: Int J Mol Sci Subsets: MEDLINE

Výrazy ze slovníku MeSH: RNA, Circular*/genetics , RNA, Circular*/chemistry , RNA, Circular*/metabolism , Neural Networks, Computer* , Computational Biology*/methods, Humans ; Algorithms ; Pharmaceutical Preparations/chemistry ; Convolutional Neural Networks ; Autoencoder

A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study.

Autoři: Aruna AS Babu KRR Deepthi K

Zdroj: Molecular diversity [Mol Divers] 2025 Jun; Vol. 29 (3), pp. 2473-2487. Date of Electronic Publication: 2024 Oct 09.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

Výrazy ze slovníku MeSH: Antiviral Agents*/therapeutic use , Antiviral Agents*/chemistry , Antiviral Agents*/pharmacology , Convolutional Neural Networks* , Drug Discovery*/methods , Drug Repositioning*/methods, Humans ; Algorithms ; COVID-19 Drug Treatment ; Deep Learning ; Neural Networks, Computer ; Pandemics ; SARS-CoV-2/drug effects

GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression.

Autoři: K S S Nair MS

Zdroj: IEEE/ACM transactions on computational biology and bioinformatics [IEEE/ACM Trans Comput Biol Bioinform] 2024 May-Jun; Vol. 21 (3), pp. 405-415. Date of Electronic Publication: 2024 Jun 05.

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 101196755 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-9964 (Electronic) Linking ISSN: 15455963 NLM ISO Abbreviation: IEEE/ACM Trans Comput Biol Bioinform Subsets: MEDLINE

Výrazy ze slovníku MeSH: Data Compression*/methods , Neural Networks, Computer* , Genomics*/methods , Algorithms* , Sequence Analysis, DNA*/methods, Humans ; Deep Learning

A lightweight 1D convolutional neural network model for arrhythmia diagnosis from electrocardiogram signal.

Autoři: Saha Tchinda B Tchiotsop D

Zdroj: Physical and engineering sciences in medicine [Phys Eng Sci Med] 2025 Jun; Vol. 48 (2), pp. 577-589. Date of Electronic Publication: 2025 Feb 25.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE

Výrazy ze slovníku MeSH: Neural Networks, Computer* , Arrhythmias, Cardiac*/diagnosis , Electrocardiography* , Signal Processing, Computer-Assisted*, Humans ; Databases, Factual ; ROC Curve ; Convolutional Neural Networks

Deep Learning Discrimination for BCI Implementation Using 3D Convolutional Neural Network and EEG Topographic Maps.

Autoři: Miloulis ST Kakkos I Zorzos I a další

Zdroj: Advances in experimental medicine and biology [Adv Exp Med Biol] 2026; Vol. 1487, pp. 405-413.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0121103 Publication Model: Print Cited Medium: Print ISSN: 0065-2598 (Print) Linking ISSN: 00652598 NLM ISO Abbreviation: Adv Exp Med Biol Subsets: MEDLINE

Výrazy ze slovníku MeSH: Brain-Computer Interfaces* , Electroencephalography*/methods , Deep Learning* , Neural Networks, Computer*, Humans ; Signal Processing, Computer-Assisted ; Adult ; Male ; Convolutional Neural Networks

Anomaly-Based Drone Classification Using a Model Trained Convolutional Neural Network Autoencoder on Radar Micro-Doppler

Autoři: Karlsson, Alexander Jansson, Magnus Hamalainen, Mikael

Témata: bird, classification, deep learning, drone, high dimensional anomaly detection, QDA, radar, RCS modeling, Probability Theory and Statistics, Sannolikhetsteori och statistik, Conference paper, info:eu-repo/semantics/conferenceObject, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-342796
2023 IEEE International Radar Conference, RADAR 2023

Optimizing solar power generation forecasting in smart grids: a hybrid convolutional neural network -autoencoder long short-term memory approach

Autoři: Ahsan Zafar Yanbo Che Moeed Sehnan a další

Zdroj: Physica Scripta. 99:095249

Témata: 9. Industry and infrastructure, 13. Climate action, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Autoři: Hasenstab, Kyle Hahn, Lewis Chao, Nick a další

Zdroj: Scientific Reports. 14(1)

Témata: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf