Search Results - 1D convolutional autoencoder*

Reconstruction of pile-up events using a one-dimensional convolutional autoencoder for the NEDA detector array

Authors: Deltoro, J. M. Jaworski, G. Goasduff, A. et al.

Source: Nuclear Science and Techniques. 36(2)

Subject Terms: 1D-CAE, Autoencoder, CAE, Convolutional neural network (CNN), Neutron detector, Neutron-gamma discrimination (NGD), Machine learning, Pulse shape discrimination, Pile-up pulse

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-548603

1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification

Authors: Dong-Hyun Kang Deok-Hwan Kim

Source: IEEE Access, Vol 10, Pp 91332-91345 (2022)

Subject Terms: knowledge distillation, 1D convolutional autoencoder, 0202 electrical engineering, electronic engineering, information engineering, real-time, GSR, PPG, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://doaj.org/article/654fe7075b404801999f58920d3ffe8c

The LiliQuant Theory: Fundamental Field as the Basis of Consciousness and Its Experimental Detection via 1D Convolutional Autoencoder

Authors: Černý, Ladislav Gemini, AI ChatGPT, AI

Subject Terms: LiliQ, General Relativity, Quantum Physics, Consciousness, Panpsychism, LSS, FOS: Physical sciences, Terminal lucidity, CMB, Solitons, AI, LiliQuant, LHC, EEG, Neuroscience

Denoising of Over-the-Horizon Propagation Loss Based on 1D Convolutional Autoencoder

Authors: Jiajing Wu Zhiqiang Wei Dongning Jia et al.

Source: 2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). :965-968

Subject Terms: 0301 basic medicine, 03 medical and health sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Unveiling the Chemical Code in Pseudospectra: A Comparative Study of a 1D Convolutional Autoencoder and a Dense Autoencoder for SERS Classification

Authors: Sparavigna, Amelia Carolina orcid:0000-0003-4502- Gemini (Modello Linguistico di Google)

Subject Terms: Raman SERS Spectroscopy, SERS spectroscopy, AI Autoencoders, AI, Conv1D Autoencoder, Dense Autoencoder

Relation: https://zenodo.org/records/16912956; oai:zenodo.org:16912956; https://doi.org/10.5281/zenodo.16912956

Availability: https://doi.org/10.5281/zenodo.16912956
https://zenodo.org/records/16912956

A Novel Approach to Jominy Profile Prediction Based on 1D Convolutional Neural Networks and Autoencoders that Supports Transfer Learning

Authors: Marco Vannucci Valentina Colla

Source: Lecture Notes in Computer Science ISBN: 9783031430770

File Description: application/pdf

CAPC: Packet-Based Network Service Classifier With Convolutional Autoencoder

Authors: Kai-Cheng Chiu Chien-Chang Liu Li-Der Chou

Source: IEEE Access, Vol 8, Pp 218081-218094 (2020)

Subject Terms: one-dimensional convolutional neural network, 0202 electrical engineering, electronic engineering, information engineering, deep learning, Autoencoder, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, packet-based traffic classification, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09274356.pdf
https://doaj.org/article/711d8348e8ab442bad0456350f666bcb
https://doaj.org/article/711d8348e8ab442bad0456350f666bcb
https://ieeexplore.ieee.org/abstract/document/9274356
https://scholars.ncu.edu.tw/en/publications/capc-packet-based-network-service-classifier-with-convolutional-a
https://dblp.uni-trier.de/db/journals/access/access8.html#ChiuLC20

Improving stacked-autoencoders with 1D convolutional-nets for hyperspectral image land-cover classification

Authors: Jijón-Palma, Mario Ernesto Kern, Jens Amisse, Caisse et al.

Source: Journal of Applied Remote Sensing. 15

Subject Terms: Earth sciences, ddc:550, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 15. Life on land

Access URL: https://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-15/issue-2/026506/Improving-stacked-autoencoders-with-1D-convolutional-nets-for-hyperspectral-image/10.1117/1.JRS.15.026506.short
https://ui.adsabs.harvard.edu/abs/2021JARS...15b6506J/abstract

Reconstruction of SMAP Soil Moisture Data Based on Residual Autoencoder Network with Convolutional Feature Extraction.

Authors: Liu, Yaojie Fan, Haoyu Jin, Yan et al.

Source: Remote Sensing. Nov2025, Vol. 17 Issue 22, p3729. 32p.

Subject Terms: *SOIL moisture, *REMOTE sensing, *CLIMATE research, *FEATURE extraction, *AUTOENCODERS, *HYDROLOGICAL research, *ELECTRONIC data processing, *ENVIRONMENTAL research

Geographic Terms: CHINA

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

Authors: Shubham Chaudhry Azzedine Abdedou Azzeddine Soulaïmani

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/1acb9d02b46540cbb5ab687871ded7c0

Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks.

Authors: Gao, Chao Welch, Joshua D

Source: Bioinformatics. Jan2025, Vol. 41 Issue 1, p1-14. 14p.

Subject Terms: *CONVOLUTIONAL neural networks, *DATA integration, *SOURCE code, *CHROMATIN, *MICE

Feature extraction and classification of heart sound using 1D convolutional neural networks

Authors: Fen Li Ming Liu Yuejin Zhao et al.

Source: EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-11 (2019)

Subject Terms: Auscultation, Convolutional neural networks (CNNs), Denoising autoencoder, Heart disease risk, Telecommunication, TK5101-6720, Electronics, TK7800-8360

File Description: electronic resource

Relation: https://doaj.org/toc/1687-6180

Access URL: https://doaj.org/article/9d507ab0895d488b833c18a33c1e878a

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

Authors: Saha Tchinda B Tchiotsop D

Source: 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.

Publication Type: Journal Article

Journal Info: 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

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

ECG Signal Denoising Using 1D Convolutional Neural Network

Authors: Winda Kurnia Sari Muhammad Naufal Rachmamtullah Ahmad Rifai

Source: Computer Engineering and Applications Journal. 13:60-68

Hybrid Physics-Infused One-Dimensional Convolutional Neural Network-Based Ensemble Learning Framework for Diesel Engine Fault Diagnostics

Authors: Shubhendu Kumar Singh Raj Pradip Khawale Subhashis Hazarika et al.

Source: Journal of Computing and Information Science in Engineering. 25

ECG Signal Denoising Using 1D Convolutional Neural Network.

Authors: Rifai, Ahmad Rachmatullah, Muhammad Naufal Sari, Winda Kurnia

Source: Computer Engineering & Applications Journal; Jun2024, Vol. 13 Issue 2, p60-68, 9p

Subject Terms: CONVOLUTIONAL neural networks, SIGNAL denoising, CARDIOVASCULAR disease diagnosis, ELECTROCARDIOGRAPHY, SIGNAL reconstruction, SIGNAL-to-noise ratio, MEDICAL examinations of athletes

Network Anomaly Detection in Enhanced Machine-Type Communication IoT Applications on 5G and Beyond Networks: A Convolutional Autoencoder Approach

Authors: Chekwas Chikezie Abraham Usman Michael David et al.

Source: Confluence University Journal of Science and Technology. 2:105

Accelerating Energy Forecasting with Data Dimensionality Reduction in a Residential Environment.

Authors: Gonçalves, Rafael Magalhães, Diogo Teixeira, Rafael et al.

Source: Energies (19961073); Apr2025, Vol. 18 Issue 7, p1637, 18p

Subject Terms: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, LONG short-term memory, AUTOENCODERS, MACHINE learning, DEEP learning

Wavelet Multiresolution Analysis Based Speech Emotion Recognition System Using 1D CNN LSTM Networks

Authors: Aditya Dutt Paul Gader

Subject Terms: Speech emotion recognition, wavelets, long short term memory (LSTM), convolutional neural networks (CNN), autoencoders, dimensionality reduction

Relation: https://zenodo.org/records/8237274; oai:zenodo.org:8237274; https://doi.org/10.1109/TASLP.2023.3277291

Availability: https://doi.org/10.1109/TASLP.2023.3277291
https://zenodo.org/records/8237274

Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture.

Authors: Imam, Syed Asad Lim, Meng Hee Abdelrhman, Ahmed Mohammed et al.

Source: Engineering Reports; May2025, Vol. 7 Issue 5, p1-32, 32p

Subject Terms: CONVOLUTIONAL neural networks, ARTIFICIAL neural networks, TRANSFORMER models, ARTIFICIAL intelligence, FAULT diagnosis, DEEP learning, SYSTEM downtime