Search Results - convolutional neural network-autoencoder architecture*

Advanced ECG signal denoising using deep learning architectures: convolutional neural networks, autoencoders, and generative adversarial networks

Authors: Arjun Singh Vijoriya Yogesh Parmar Gaurav Varshney et al.

Source: IET Conference Proceedings. 2025:1760-1764

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

Authors: Chin-Cheng Wu Cheng-Wei Tsai Fei-En Wu et al.

Source: Biomimetics (Basel)
Biomimetics, Vol 10, Iss 2, p 79 (2025)

Subject Terms: gait recognition, Technology, plantar pressure, convolutional neural network-autoencoder architecture, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/39997101
https://doaj.org/article/d1e45a784e0949d78698f9ef82f80918

Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

Authors: Sergio Saponara Abdussalam Elhanashi Qinghe Zheng

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

Subject Terms: 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

Access URL: 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

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

Authors: Wu, Chin-Cheng Tsai, Cheng-Wei Wu, Fei-En et al.

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

Subject Terms: CONVOLUTIONAL neural networks, AUTOENCODERS, FEATURE extraction

Artificial and Convolutional Neural Network Architectures for Childhood Stunting Classification: Design, Evaluation, and Optimization.

Authors: Hendy, Abdelaziz Ibrahim, Rasha Kadri Abdelaliem, Sally Mohammed Farghaly et al.

Source: SAGE Open; July-Sep2025, Vol. 15 Issue 3, p1-19, 19p

Subject Terms: STUNTED growth, ARTIFICIAL neural networks, NUTRITIONAL assessment, HEALTH status indicators, CONVOLUTIONAL neural networks, DATA analysis, MACHINE learning

Geographic Terms: EGYPT

NEURAL NETWORK AUTOENCODER MODEL FOR FORMING REDUCED VECTOR CHARACTERISTICS OF ECG SIGNALS

Authors: Anton Mnevec Natalia Ivanushkina

Source: Bulletin of Kyiv Polytechnic Institute. Series Instrument Making. :93-105

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

Authors: Khan, Abdullah Sajid, Muhammad Zaheer Khan, Nauman Ali et al.

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

Subject Terms: MACHINE learning, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, DATA augmentation, SKIN cancer, DEEP learning

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

Authors: Awad, Mohamad M. Homayouni, Saeid

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

Subject Terms: ATMOSPHERIC methane, CONVOLUTIONAL neural networks, ENVIRONMENTAL degradation, CLIMATE change, INTERPOLATION, ENVIRONMENTAL monitoring, REMOTE sensing

A Review of Neural Network-Based Image Noise Processing Methods.

Authors: Volkov, Anton A. Kozlov, Alexander V. Cheremkhin, Pavel A. et al.

Source: Sensors (14248220); Oct2025, Vol. 25 Issue 19, p6088, 37p

Subject Terms: CONVOLUTIONAL neural networks, DIGITAL image processing, SIGNAL filtering, AUTOENCODERS, ARTIFICIAL neural networks, GENERATIVE adversarial networks, IMAGE quality analysis

NEURAL NETWORK AUTOENCODER MODEL FOR FORMING REDUCED VECTOR CHARACTERISTICS OF ECG SIGNALS

Source: Bulletin of Kyiv Polytechnic Institute. Series Instrument Making; No. 69(1) (2025); 93-105
Вестник Киевского политехнического института. Серия приборостроение; № 69(1) (2025); 93-105
Вісник Київського політехнічного інституту. Серія Приладобудування; № 69(1) (2025); 93-105

Subject Terms: autoencoder, пізні потенціали передсердь, стиснення даних, electrocardiography, автоенкодер, ventricular late potentials, atrial late potentials, пізні потенціали шлуночків, електрокардіографія, data compression

File Description: application/pdf

Access URL: https://visnykpb.kpi.ua/article/view/331920

Dynamic forecasting of China's carbon market prices by the coupling of macroeconomic indicators and LSTM model.

Authors: Wang, Yinuo Huo, Haoyu Liu, Xingchen et al.

Source: Scientific Reports; 11/19/2025, Vol. 15 Issue 1, p1-16, 16p

Subject Terms: FORECASTING, LONG short-term memory, CARBON offsetting, ARTIFICIAL neural networks, MULTISENSOR data fusion, SUSTAINABLE development, ECONOMIC indicators, ECONOMIC forecasting

Geographic Terms: CHINA

基于深度学习的短时交通流预测研究综述. (Chinese)

Alternate Title: Short-Term Traffic Flow Prediction Based on Deep Learning. (English)

Authors: 熊章友 李卫军 朱晓娟 et al.

Source: Journal of Computer Engineering & Applications; Jun2025, Vol. 61 Issue 11, p67-82, 16p

Subject Terms: CONVOLUTIONAL neural networks, RECURRENT neural networks, INTELLIGENT transportation systems, TRAFFIC flow, AUTOENCODERS, DEEP learning

Enhanced Kinship Verification through Ear Images: A Comparative Study of CNNs, Attention Mechanisms, and MLP Mixer Models.

Authors: Cao, Thien-Tan Duong, Huu-Thanh Le, Viet-Tuan et al.

Source: Computers, Materials & Continua; 2025, Vol. 83 Issue 3, p4373-4391, 19p

Subject Terms: TRANSFORMER models, RECOGNITION (Psychology), VERNACULAR architecture, FACIAL expression, CONVOLUTIONAL neural networks, EAR

Explainable AI and vision transformers for detection and classification of brain tumor: a comprehensive survey.

Authors: Hosny, Khalid M. Mohammed, Mahmoud A.

Source: Artificial Intelligence Review; Sep2025, Vol. 58 Issue 9, p1-60, 60p

Subject Terms: TRANSFORMER models, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, BRAIN tumors, CANCER diagnosis, DEEP learning

Implementation of Kolmogorov–Arnold Networks for Efficient Image Processing in Resource-Constrained Internet of Things Devices.

Authors: Shaushenova, Anargul Kuznetsov, Oleksandr Nurpeisova, Ardak et al.

Source: Technologies (2227-7080); Apr2025, Vol. 13 Issue 4, p155, 21p

Subject Terms: COMPUTER vision, INDUSTRIAL robots, CONVOLUTIONAL neural networks, IMAGE processing, COMPUTER networks, DEEP learning

Encoding Multivariate Time Series of Gas Turbine Data as Images to Improve Fault Detection Reliability.

Authors: Losi, Enzo Venturini, Mauro Manservigi, Lucrezia et al.

Source: Machines; Oct2025, Vol. 13 Issue 10, p943, 42p

Subject Terms: GAS turbines, FAULT diagnosis, CONVOLUTIONAL neural networks, IMAGE reconstruction, CONDITION-based maintenance, OUTLIER detection

Enhance real-time activity recognition of disabled individuals using hybridisation of convolutional neural network with attention mechanism.

Authors: Alabdan, Rana AlAqil, Mohammed A. Alanazi, Eman M. et al.

Source: Signal, Image & Video Processing; Nov2025, Vol. 19 Issue 14, p1-15, 15p

A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors.

Authors: Barrera-Llanga, Kevin Burriel-Valencia, Jordi Sapena-Bañó, Ángel et al.

Source: Sensors (14248220); Oct2023, Vol. 23 Issue 19, p8196, 20p

Subject Terms: CONVOLUTIONAL neural networks, INDUCTION motors, FAULT diagnosis, MANUFACTURING processes, ROTORS

An Adaptive Temporal Convolutional Network Autoencoder for Malicious Data Detection in Mobile Crowd Sensing.

Authors: Owoh, Nsikak Riley, Jackie Ashawa, Moses et al.

Source: Sensors (14248220); Apr2024, Vol. 24 Issue 7, p2353, 23p

Subject Terms: CONVOLUTIONAL neural networks, CROWDSENSING, SECURITY systems, DATA integrity, TRUST

A convolutional architecture for 3D model embedding using image views.

Authors: Labrada, Arniel Bustos, Benjamin Sipiran, Ivan

Source: Visual Computer; Mar2024, Vol. 40 Issue 3, p1601-1615, 15p

Subject Terms: DEEP learning, CONVOLUTIONAL neural networks, POINT cloud, UNITS of time