Výsledky vyhľadávania - Involution autoencoder

Involution-based efficient autoencoder for denoising histopathological images with enhanced hybrid feature extraction

Autori: Md. Farhadul Islam Md. Tanzim Reza Meem Arafat Manab a ďalší

Zdroj: Computers in Biology and Medicine. 192:110174

Predmety: Image Processing, Computer-Assisted, Humans, Autoencoder, Signal-To-Noise Ratio, Artifacts, Algorithms

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40279976

Involution Based Speech Autoencoder: Investigating the Advanced Vision Operator Performance on Speech Feature Extraction

Autori: Tianle Zhong Israel Mendoza Velazquez Yoichi Haneda

Zdroj: 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE). :179-180

Spatial-Frequency-Scale Variational Autoencoder for Enhanced Flow Diagnostics of Schlieren Data.

Autori: Yang, Ronghua Wu, Hao Yang, Rongfei a ďalší

Zdroj: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6233, 29p

Predmety: FLUID dynamics, AUTOENCODERS, FLOW visualization, FOURIER transforms, DEEP learning, FEATURE extraction, FORECASTING

Dynamic feature capturing in a fluid flow reduced-order model using attention-augmented autoencoders.

Autori: Beiki, Alireza Kamali, Reza

Zdroj: Engineering Applications of Artificial Intelligence. Jun2025, Vol. 149, pN.PAG-N.PAG. 1p.

Predmety: *FLUID flow, *FLUID dynamics, *REDUCED-order models, *TIME series analysis, *FORECASTING

A Novel Involution-Based Lightweight Network for Fabric Defect Detection.

Autori: Ke, Zhenxia Yu, Lingjie Zhi, Chao a ďalší

Zdroj: Information; May2025, Vol. 16 Issue 5, p340, 17p

Predmety: CONVOLUTIONAL neural networks, DEEP learning, CONVOLUTION codes, TEXTILES

Towards efficient glaucoma screening with modular convolution-involution cascade architecture.

Autori: Mouhafid, Mohamed Zhou, Yatong Shan, Chunyan a ďalší

Zdroj: PeerJ Computer Science; Apr2025, p1-29, 29p

Predmety: GLAUCOMA, CONVOLUTIONAL neural networks, RETINAL imaging, IMAGE analysis, DIAGNOSIS, COMPUTER-aided diagnosis

AACNet: attention aided CNN-autoencoder network for precise categorization of respiratory conditions from HRCT scans.

Autori: Kakati, Anchita Bhattacharjya, Upasana Medhi, Jyoti Prakash a ďalší

Zdroj: Network Modeling & Analysis in Health Informatics & Bioinformatics; 8/20/2025, Vol. 14 Issue 1, p1-29, 29p

基于小波变换和 Involution 卷积神经网络的 滚动轴承故障诊断方法. (Chinese)

Alternate Title: Fault Diagnosis Method for Rolling Bearings Based on Wavelet Transform and Involution Convolution Neural Network. (English)

Autori: 王正 文传博 董逸凡

Zdroj: Bearing; 2022, Issue 11, p61-67, 7p

A concise self-adapting deep learning network for machine remaining useful life prediction

Autori: Xiang, Sheng Qin, Yi Luo, Jun a ďalší

Zdroj: ISSN:0888-3270 ; ISSN:1096-1216 ; Mechanical Systems And Signal Processing, vol. 191, Art.No. ARTN 110187.

Predmety: Science & Technology, Technology, Engineering, Mechanical, RUL prediction, Adaptive learning, Involution, Multi-input, Aero-engine, Wind turbine, NEURAL-NETWORKS, LSTM, CONSTRUCTION, AUTOENCODER, PROGNOSTICS, MODEL, CNN, 0905 Civil Engineering, 0913 Mechanical Engineering, 0915 Interdisciplinary Engineering, Acoustics, 4006 Communications engineering, 4017 Mechanical engineering

Relation: https://lirias.kuleuven.be/handle/20.500.12942/733263; https://doi.org/10.1016/j.ymssp.2023.110187

Dostupnosť: https://lirias.kuleuven.be/handle/20.500.12942/733263
https://hdl.handle.net/20.500.12942/733263
https://doi.org/10.1016/j.ymssp.2023.110187

A Generative Model-Based Network Framework for Ecological Data Reconstruction.

Autori: Liu, Shuqiao Zhang, Zhao Zhou, Hongyan a ďalší

Zdroj: Computers, Materials & Continua; 2025, Vol. 82 Issue 1, p929-948, 20p

Predmety: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, ARTIFICIAL intelligence, SWOT analysis, AUTOENCODERS, PROBABILISTIC generative models

Autoencoder-driven clustering of intersecting D-brane models via tadpole charge.

Autori: Ishiguro, Keiya Nishimura, Satsuki Otsuka, Hajime

Zdroj: Journal of High Energy Physics; Aug2024, Vol. 2024 Issue 8, p1-40, 40p

Spectral–spatial mamba adversarial defense network for hyperspectral image classification.

Autori: Zhang, Zhongqiang Wang, Ye Gao, Dahua a ďalší

Zdroj: International Journal of Digital Earth; Dec2025, Vol. 18 Issue 1, p1-28, 28p

Predmety: DEEP learning, SPECTRAL imaging, ARTIFICIAL neural networks

Soundscape Characterization Using Autoencoders and Unsupervised Learning.

Autori: Nieto-Mora, Daniel Alexis Ferreira de Oliveira, Maria Cristina Sanchez-Giraldo, Camilo a ďalší

Zdroj: Sensors (14248220); Apr2024, Vol. 24 Issue 8, p2597, 21p

Predmety: ENVIRONMENTAL monitoring, SOUNDSCAPES (Auditory environment), LANDSCAPE changes, SPECIES diversity, SPECTROGRAMS

Metal Defect Detection Models Fused EfficientNet and Involution.

Autori: Wang, Peng Li, Shixin Wang, Weixiao a ďalší

Zdroj: Journal of Sensors; 12/19/2024, Vol. 2024, p1-11, 11p

Predmety: METAL defects, METAL detectors, METALLIC surfaces, SPINE, NECK

TMNIO:Triplet merged network with involution operators for improved few‐shot image classification.

Autori: Lulu, Qi Ranhui, Xu Shaojie, Zhao a ďalší

Zdroj: IET Image Processing (Wiley-Blackwell); May2024, Vol. 18 Issue 6, p1629-1641, 13p

Predmety: IMAGE recognition (Computer vision), MACHINE learning

ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology.

Autori: Mumenin, Nasirul Yousuf, Mohammad Abu Nashiry, Md Asif a ďalší

Zdroj: IET Computer Vision (Wiley-Blackwell); Aug2024, Vol. 18 Issue 5, p666-681, 16p

Predmety: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), AUTISM spectrum disorders, EYE tracking, ARCHITECTURAL design

Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder.

Autori: Kong, Fanqiang Ren, Guanglong Hu, Yunfang a ďalší

Zdroj: Visual Computer; Sep2024, Vol. 40 Issue 9, p6295-6318, 24p

Predmety: MULTISPECTRAL imaging, IMAGE compression, FEATURE extraction, MIXTURES

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis.

Autori: Russkikh, Nikolai Antonets, Denis Shtokalo, Dmitry a ďalší

Zdroj: Bioinformatics; 10/15/2020, Vol. 36 Issue 20, p5076-5085, 10p

Predmety: DATA harmonization, DATA analysis, RNA sequencing, GENDER, TREATMENT effectiveness

InvolutionGAN: lightweight GAN with involution for unsupervised image-to-image translation.

Autori: Deng, Haipeng Wu, Qiuxia Huang, Han a ďalší

Zdroj: Neural Computing & Applications; Aug2023, Vol. 35 Issue 22, p16593-16605, 13p

Predmety: GENERATIVE adversarial networks, DEEP learning

SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction.

Autori: Zhu, Lingxuan Wu, Jiaji Biao, Wang a ďalší

Zdroj: Sensors (14248220); Apr2023, Vol. 23 Issue 7, p3728, 22p

Predmety: REMOTE sensing, IMAGE reconstruction, MULTISPECTRAL imaging, SPECTRAL imaging, SPATIAL resolution