Výsledky vyhledávání - stacked convolutional autoencoder network

Intelligent Optimization of Latent Fingerprint Image Segmentation using Stacked Convolutional Autoencoder.

Autoři: Chhabra, Megha Shukla, Manoj Kumar Ravulakollu, Kiran Kumar

Zdroj: International Journal of Performability Engineering. Apr2021, Vol. 17 Issue 4, p379-393. 15p.

Témata: Forensic fingerprinting, Image segmentation, Human fingerprints, Smart structures, Feature selection, Law enforcement agencies

Optimizing dotted Arabic expiration date recognition with ARABEX: a convolutional autoencoder with bidirectional LSTM and CRNN approach.

Autoři: Zaki, Hozaifa Soliman, Ghada

Zdroj: International Journal on Document Analysis & Recognition; Dec2025, Vol. 28 Issue 4, p555-572, 18p

New Findings on Brain Cancer from Department of Electronics and Instrumentation Summarized (C-san: Convolutional Stacked Autoencoder Network for Brain Tumor Detection Using Mri).

Zdroj: Medical Imaging Week; 1/10/2025, p848-848, 1p

Témata: CONVOLUTIONAL neural networks, BIOMEDICAL signal processing, MAGNETIC resonance imaging, THREE-dimensional imaging, DISCRETE wavelet transforms

Geografický termín: CHENNAI (India)

SCADefender: An Autoencoder-Based Defense for CNN-Based Image Classifiers.

Autoři: Nguyen, Duc-Anh Do Minh, Kha Nhu, Ngoc Nguyen a další

Zdroj: International Journal of Pattern Recognition & Artificial Intelligence. Sep2023, Vol. 37 Issue 12, p1-26. 26p.

Témata: CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision), SPACE surveillance, DEEP learning

A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics.

Autoři: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

Zdroj: Veterinary World. Jul2025, Vol. 18 Issue 7, p1922-1935. 14p.

Témata: Granulosa cells, Fertility, Convolutional neural networks, Transcriptomes, Deep learning, Recurrent neural networks, Goats, Biomarkers

A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images

Autoři: Huayue Chen Ye Chen Qiuyue Wang a další

Zdroj: Sensors, Vol 22, Iss 8881, p 8881 (2022)

Témata: stacked convolutional autoencoder network, transfer learning, feature extraction, small samples, HRSI, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/22/22/8881; https://doaj.org/toc/1424-8220; https://doaj.org/article/6e5c53c528b04a9a934f22282bdde353

Dostupnost: https://doi.org/10.3390/s22228881
https://doaj.org/article/6e5c53c528b04a9a934f22282bdde353

A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images.

Autoři: Chen, Huayue Chen, Ye Wang, Qiuyue a další

Zdroj: Sensors (14248220); Nov2022, Vol. 22 Issue 22, p8881, 16p

Témata: DEEP learning, ARTIFICIAL neural networks, FOREIGN bodies, LEARNING strategies

Feature Extraction With Stacked Autoencoders for EEG Channel Reduction in Emotion Recognition.

Autoři: Vafaei, Elnaz Rahatabad, Fereidoun Nowshiravan Setarehdan, Seyed Kamaledin a další

Zdroj: Basic & Clinical Neuroscience; May/Jun2024, Vol. 15 Issue 3, p393-402, 10p

Témata: EMOTION recognition, SUPPORT vector machines, DEEP learning, FEATURE extraction, ELECTROENCEPHALOGRAPHY

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images.

Autoři: Solovyeva, Elena Abdullah, Ali

Zdroj: Journal of Imaging; Sep2022, Vol. 8 Issue 9, pN.PAG-N.PAG, 22p

Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising.

Autoři: Bouzianis, Nikolaos Stathopoulos, Ioannis Valsamaki, Pipitsa a další

Zdroj: Journal of Imaging; Jun2025, Vol. 11 Issue 6, p197, 28p

PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks PERSIANN-CNN: Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks - Convolutional Neural Networks

Autoři: Sadeghi, Mojtaba Asanjan, Ata Akbari Faridzad, Mohammad a další

Zdroj: Journal of Hydrometeorology. 20(12)

Témata: Bioengineering, Precipitation, Hydrometeorology, Neural networks, Atmospheric Sciences, Meteorology & Atmospheric Sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/9850c6wg
https://escholarship.org/content/qt9850c6wg/qt9850c6wg.pdf

Detection of Subarachnoid Hemorrhage Using CNN with Dynamic Factor and Wandering Strategy-Based Feature Selection.

Autoři: Sengupta, Jewel Alzbutas, Robertas Iešmantas, Tomas a další

Zdroj: Diagnostics (2075-4418); Nov2024, Vol. 14 Issue 21, p2417, 31p

Témata: CONVOLUTIONAL neural networks, FEATURE selection, OPTIMIZATION algorithms, FEATURE extraction, WATER waves

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

Autoři: Kakati, Anchita Bhattacharjya, Upasana Medhi, Jyoti Prakash a další

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

Generative Adversarial Stacked Autoencoders

Autoři: Ruiz-Garcia, Ariel Almakky, Ibrahim Palade, Vasile a další

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2011.12236

Deep learning-based data registration of melt-pool-monitoring images for laser powder bed fusion additive manufacturing.

Autoři: Kim, Jaehyuk Yang, Zhuo Ko, Hyunwoong a další

Zdroj: Journal of Manufacturing Systems. Jun2023, Vol. 68, p117-129. 13p.

Témata: *MANUFACTURING processes, DEEP learning, CONVOLUTIONAL neural networks, IMAGE registration, POWDERS, LASERS, KALMAN filtering

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.

Autoři: Sun, Yanan Xue, Bing Zhang, Mengjie a další

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Aug2019, Vol. 30 Issue 8, p2295-2309, 15p

Témata: PARTICLE swarm optimization, CLASSIFICATION, COMPUTER architecture

U-net like deep autoencoders for deblurring atmospheric turbulence.

Autoři: Chen, Gongping Gao, Zhisheng Wang, Qiaolu a další

Zdroj: Journal of Electronic Imaging; Sep/Oct2019, Vol. 28 Issue 5, p1-14, 14p

Témata: ATMOSPHERIC turbulence, ARTIFICIAL neural networks, IMAGE reconstruction, SIGNAL-to-noise ratio, FEATURE extraction, DATA integrity

A novel deep learning‐based technique for driver drowsiness detection.

Autoři: Mukherjee, Prithwijit Roy, Anisha Halder

Zdroj: Human Factors & Ergonomics in Manufacturing & Service Industries; Nov2024, Vol. 34 Issue 6, p667-684, 18p

Témata: GALVANIC skin response, WAKEFULNESS, FEATURE extraction, DROWSINESS, TRAFFIC accidents

Islamic Azad University Researcher Reports on Findings in Healthcare Engineering (Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network).

Zdroj: Health & Medicine Week; 2/10/2023, p2437-2437, 1p

Témata: TOPOGRAPHIC maps, ELECTROENCEPHALOGRAPHY, CONVOLUTIONAL neural networks, ENGINEERING, MEDICAL care, EMOTIONAL state

Korporace: ISLAMIC Azad University

Dual-Path Parallel Graph Convolution Combining Brain Region Partitioning and Data-Driven Learning for EEG Emotion Recognition

Autoři: Xiang, Zirui Qu, Ruowen Jin, Jianxiu a další

Zdroj: Proceedings of the Annual Meeting of the Cognitive Science Society. 47

Témata: Artificial Intelligence, Emotion, Human-computer interaction, Electroencephalography (EEG), Neural Networks

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/93z7n92n
https://escholarship.org/content/qt93z7n92n/qt93z7n92n.pdf