Výsledky vyhledávání - "convolutional autoencoder"

Integrasi Convolutional Autoencoder dengan Support Vector Machine untuk Klasifikasi Varietas Almond

Autoři: Rizal Fadlullah Sri Winarno Muhammad Naufal

Zdroj: JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 11, Iss 1, Pp 63-77 (2025)

Témata: Technology, machine learning, Electronic computers. Computer science, klasifikasi, support vector machine, QA75.5-76.95, varietas almond, convolutional autoencoder

Přístupová URL adresa: https://doaj.org/article/0b190ecfac37461bbde16e0f3ebddf6d

A gated temporal attention based intra prediction framework for robust deepfake video detection

Autoři: J. Eric Clapten v. Balaji

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-28 (2025)

Témata: Deepfake detection, Video processing, Deep learning, Intra prediction, Gated temporal attention, Convolutional autoencoder, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/f238bc65ca794bbba11737abe2bb2d6a

A performance analysis of convolutional autoencoder modified WaveGAN architectures for realistic 12 lead electrocardiogram synthesis

Autoři: Jiaqi Liu Kwok Tai Chui Lap-Kei Lee a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: 12-Lead ECG synthesis, Convolutional autoencoder, Deep learning, ECG data generation, Feature extraction, Generative adversarial networks, Medicine, Science

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/dec4e72d30e840b98711653b47323356

CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation

Autoři: Shivalila Hangaragi N. Neelima Vivek Venugopal a další

Zdroj: Alexandria Engineering Journal, Vol 115, Iss, Pp 343-354 (2025)

Témata: Synthetic image generation, SSIM, Convolutional autoencoder, Convolutional neural network, TA1-2040, Engineering (General). Civil engineering (General), Lung cancer classification

Přístupová URL adresa: https://doaj.org/article/aa4d4ade397444fc9203f24c4f07ede9

A turbulence reduced order model based on non-interpolated convolutional autoencoder

Autoři: WU Pin ZHANG Bo SONG Chao a další

Zdroj: Xibei Gongye Daxue Xuebao, Vol 43, Iss 1, Pp 149-153 (2025)

Témata: reduced-order model, non-interpolated convolutional autoencoder, reduced-dimensional reconstruction, TL1-4050, Motor vehicles. Aeronautics. Astronautics

Přístupová URL adresa: https://doaj.org/article/a60236e02ab0428a9bb44d6bbe63c9d5

Optimized Temporal Denoised Convolutional Autoencoder for Enhanced ADHD Classification Using fMRI Data

Autoři: Zarina Begum Kareemulla Shaik

Zdroj: IEEE Access, Vol 13, Pp 29031-29045 (2025)

Témata: Attention deficit hyperactivity disorder, optimized temporal denoised convolutional autoencoder, deep learning, adaptive osprey optimization, Electrical engineering. Electronics. Nuclear engineering, spatial features, fMRI images, TK1-9971

Přístupová URL adresa: https://doaj.org/article/a8ff8ca9acda4137b99f9fee50cebd36

Research on UAV Jamming Signal Generation Based on Intelligent Jamming

Autoři: Haonan Xue Zhihai Zhuo Weihao Yan a další

Zdroj: IEEE Access, Vol 13, Pp 14686-14701 (2025)

Témata: communication jamming, jamming signal generation, Intelligent jamming, Electrical engineering. Electronics. Nuclear engineering, complex convolutional autoencoder, TK1-9971

Přístupová URL adresa: https://doaj.org/article/94fd74577da94b4ba512de9bffc4f45e

River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model

Autoři: Kecong Wu Lirong Chen Yalige Bai a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 2602-2617 (2025)

Témata: convolutional autoencoder (CAE), Ocean engineering, QC801-809, Geophysics. Cosmic physics, microgeomorphic feature, Anomaly values, TC1501-1800, Yarlung Zangbo River, sandstorm sources

Přístupová URL adresa: https://doaj.org/article/94424c5cfbc34885963f0ffe4a93a78c

Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning

Autoři: Jinyou Kim Ilkyu Yi Young-Joo Suh

Zdroj: IEEE Access, Vol 13, Pp 59959-59976 (2025)

Témata: open-set recognition, belt conveyor system, Electrical engineering. Electronics. Nuclear engineering, domain generalization, prototype learning, convolutional autoencoder, Fault detection and diagnosis (FDD), TK1-9971

Přístupová URL adresa: https://doaj.org/article/fcbf9fa1cd654764a30d7156ebb02914

Automated Loudness Growth Prediction From EEG Signals Using Autoencoder and Multi-Target Regression

Autoři: D. Rama Harshita Nitya Tiwari Himanshu Padole a další

Zdroj: IEEE Access, Vol 13, Pp 106561-106572 (2025)

Témata: multi-target regression, convolutional neural networks, loudness growth prediction, Auditory brainstem response, Electrical engineering. Electronics. Nuclear engineering, convolutional autoencoder, TK1-9971

Přístupová URL adresa: https://doaj.org/article/f7da9a8b124e468095dc09b3c4f6577f

Health index estimation through integration of general knowledge with unsupervised learning

Autoři: Bajarunas, Kristupas Baptista, Marcia L. Goebel, Kai a další

Zdroj: Reliability Engineering & System Safety. 251

Témata: Convolutional autoencoder, Health index, Hybrid model, Prognostics, Unsupervised learning, Operation and Maintenance Engineering, Drift och underhållsteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-108434
https://doi.org/10.1016/j.ress.2024.110352

Spatialsmooth: a spatially-aware convolutional autoencoder framework for enhanced deconvolution of spatial transcriptomics data

Autoři: Xiao Yang Jinjin Xiang Yanbin Feng a další

Zdroj: BMC Genomics, Vol 26, Iss 1, Pp 1-16 (2025)

Témata: Spatial transcriptomics, Deconvolution, Convolutional autoencoder, Positional encoding, Biotechnology, TP248.13-248.65, Genetics, QH426-470

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2164

Přístupová URL adresa: https://doaj.org/article/cf4a010a44b741dc8353cf0daf6a29c4

Data-driven non-intrusive reduced order modelling of selective laser melting additive manufacturing process using proper orthogonal decomposition and convolutional autoencoder

Autoři: Shubham Chaudhry Azzedine Abdedou Azzeddine Soulaïmani

Zdroj: Advanced Modeling and Simulation in Engineering Sciences, Vol 12, Iss 1, Pp 1-23 (2025)

Témata: Reduced-order model, Convolutional autoencoder, Additive manufacturing, Deep learning, Proper orthogonal decomposition, Mechanics of engineering. Applied mechanics, TA349-359, Systems engineering, TA168

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2213-7467

Přístupová URL adresa: https://doaj.org/article/1acb9d02b46540cbb5ab687871ded7c0

Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN

Autoři: Ming Zeng Min Wang Fuqiang Xie a další

Zdroj: BMC Bioinformatics, Vol 26, Iss 1, Pp 1-29 (2025)

Témata: Drug-target interaction, Dynamic weighting convolutional residual connection, Dual self-supervised joint training mechanism, Graph convolutional autoencoder, Generative adversarial network, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/c9b441325e6d409dbc981ebfca8af0c6

Computer-Aided Diagnosis of Acute Lymphoblastic Leukemiaby Using a Novel CAE-CNN Framework

Autoři: Mohammed Mansoor Alhammadi

Zdroj: Iraqi Journal for Computers and Informatics, Vol 50, Iss 2, Pp 186-206 (2024)

Témata: Technology, acute lymphoblastic leukemia, convolutional autoencoder, convolutional neural network, feature extraction, computer-aided diagnosis

Přístupová URL adresa: https://doaj.org/article/e9df85c84bfc4fee8a5a49bf1b184bee

Studies on 1D Electronic Noise Filtering Using an Autoencoder

Autoři: Marcelo Bender Perotoni Lincoln Ferreira Lucio

Zdroj: Knowledge, Vol 4, Iss 4, Pp 571-581 (2024)

Témata: noise generator, Electronic computers. Computer science, noise filtering, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, denoise, 01 natural sciences, deep convolutional autoencoder, 0105 earth and related environmental sciences

Přístupová URL adresa: https://doaj.org/article/433d3f19e0de4cbe926d08080a3f240e

Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO3

Autoři: Hirotaka Manaka Shoutarou Katayama Soichiro Honda a další

Zdroj: Science and Technology of Advanced Materials: Methods, Vol 5, Iss 1 (2025)

Témata: LSTM, temperature series principal component analysis, 3D convolutional autoencoder, temperature series forest, stress-induced ferroelectricity, SrTiO3, Materials of engineering and construction. Mechanics of materials, TA401-492

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2766-0400

Přístupová URL adresa: https://doaj.org/article/3a6056fe20754fb79f302220391b0037

QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus

Autoři: Meghana R Sowmyashree Sakrepatna Ramesha Adwitiya Mukhopadhyay

Zdroj: MethodsX, Vol 15, Iss , Pp 103471- (2025)

Témata: A hybrid of Quantum Convolutional Autoencoder and Quantum Orthogonal Classifier with SVM, Science

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2215016125003164; https://doaj.org/toc/2215-0161

Přístupová URL adresa: https://doaj.org/article/5286ad309eb3460d901086c120afb62a

Blade performance prediction model coupled autoencoder with multi-source data fusion strategy

Autoři: Ruoyu Chen Ziliang Li Huafeng Xu a další

Zdroj: Engineering Applications of Computational Fluid Mechanics, Vol 19, Iss 1 (2025)

Témata: Small-sample deep learning, multi-source data fusion, blade loss prediction, convolutional autoencoder, compressor cascade, Engineering (General). Civil engineering (General), TA1-2040

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1994-2060; https://doaj.org/toc/1997-003X

Přístupová URL adresa: https://doaj.org/article/2362ca3016fc4bdfa407ed38dd032f61

Low-dimensional representation and prediction of supersonic gas-solid two-phase flow field based on CAE-BiLSTM

Autoři: Liangliang Zhang Zhixun Xia Likun Ma a další

Zdroj: Results in Engineering, Vol 28, Iss , Pp 107165- (2025)

Témata: Supersonic gas-solid two-phase flow field, Reduced-order model, Flow field prediction, Low-dimensional representation, Convolutional autoencoder, Bidirectional long short-term memory, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025032207; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/5651201443854389a6ad4ba30df84eac