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Personal Identification Using 3D Topographic Cubes Extracted from EEG Signals by Means of Automated Feature Representation

Signals
Electroencephalogram (EEG)-based identification offers a promising biometric solution by leveraging the uniqueness of individual brain activity patterns.
Muhammed Esad Oztemel, Ömer Muhammet Soysal +1 more
doaj +1 more source

Early Detection of Forest Disturbances in Homogeneous Stands – Deep Learning-Based Monitoring of Picea Abies

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Climate change has increased the vulnerability of forests to insect-related damage, resulting in widespread forest loss in Central Europe and highlighting the need for effective, continuous monitoring systems.
Maximilian Kirsch +3 more
doaj +1 more source

Enhancing GNSS Localization in Urban Canyons With a Hybrid CNN-Autoencoder Approach to LOS/NLOS Classification

IEEE Access
Non-Line-of-Sight (NLOS) reception is acknowledged as a primary source of positioning error in Global Navigation Satellite System (GNSS) applications, particularly within dense urban settings. When the direct satellite path is obstructed by buildings and
S. Titouni +8 more
doaj +1 more source

Reliable Task-Constrained Band Selection Method for Hyperspectral Anomaly Detection

Remote Sensing
Hyperspectral band selection utilizes a crucial band subset to represent original data. In hyperspectral anomaly detection tailored for specific tasks, detection performance can be enhanced by pre-selecting a subset of bands that are more representative.
Genrui Zhang +4 more
doaj +1 more source

Reconstructing attractors with autoencoders

Chaos: An Interdisciplinary Journal of Nonlinear Science
We propose a method based on autoencoders to reconstruct attractors from recorded footage, preserving the topology of the underlying phase space. We provide theoretical support and test the method with (i) footage of the temperature and stream function fields involved in the Lorenz atmospheric convection problem and (ii) a time series obtained by ...
F. Fainstein, G. B. Mindlin, P. Groisman
openaire +4 more sources

The trade-off between maximizing reconstruction and physiological interpretation of muscle synergies with autoencoders

Frontiers in Human Neuroscience
IntroductionIn neuroscience, the muscle synergy method is a widely known computational approach for studying motor control from electromyographic (EMG) recordings.
Cristina Brambilla +5 more
doaj +1 more source

Autoencoder

, 2021
Dimitrios Toumpanakis, Edgar Lorente, Candace Moore +2 more
openaire +1 more source

Evaluation of the Risk of Urinary System Stone Recurrence Using Anthropometric Measurements and Lifestyle Behaviors in a Developed Artificial Intelligence Model

Diagnostics
Background/Objectives: Urinary system stone disease is an important health problem both clinically and economically due to its high recurrence rates.
Hikmet Yasar +10 more
doaj +1 more source

Feature-Shuffle and Multi-Head Attention-Based Autoencoder for Eliminating Electrode Motion Noise in ECG Applications

Sensors
Electrocardiograms (ECGs) are critical for cardiovascular disease diagnosis, but their accuracy is often compromised by electrode motion (EM) artifacts—large, nonstationary distortions caused by patient movement and electrode-skin interface shifts. These
Szu-Ting Wang +6 more
doaj +1 more source

Temporal convolutional autoencoder for unsupervised anomaly detection in time series

Applied Soft Computing, 2021
Markus Thill, W. Konen, Hao Wang, Thomas Bäck +3 more
semanticscholar +1 more source

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