Classification of motor imagery EEG signals using neural networks

Bibliographic Details
Main Author:	Nagy Nikoletta
Other Authors:	Adolf András Ulbert István
Format:	Manuscript essay
Published:	2024-01-09
Online Access:	https://diplomamunka.ppke.hu/20000

Similar Items

Classification of Motor Imagery EEG using Signals-to-Image transformation for Brain Computer Interface Systems
by: Hanna Sameh Adly Amin
Published: (2021)

EEG Signal Classification with neural networks for BMI Applications
by: Kutasi Balázs
Published: (2023)

Developing of Feature Extraction Techniques of Motor Imagery EEG based Brain Computer Interface Systems
by: Salmingo Rene
Published: (2021)

Classification performance improvements for deep neural networks
by: Halász András Pál
Published: (2015)

Analysis of EEG signals recorded with compact systems suitable for industrial use
by: Kiss Rita
Published: (2022)

Artificial bone scintigraphy image generation using neural networks
by: Prajczer Péter
Published: (2022)

Trichinella spiralis parasite detection in microfluidic systems using neural networks
by: Kufcsák Péter
Published: (2021)

Analysis of EEG signals with deep-learning algorithms
by: Miski Marcell
Published: (2016)

Driver profile clustering on handcrafted feature set using artificial neural networks
by: Bogdány Péter
Published: (2012)

Processing echocardiogram images with neural network
by: Soós András László
Published: (2022)

Preventing Overconfident Responses in Neural Networks
by: Bódis Viktor
Published: (2014)

Epileptic signal processing using artificial intelligence
by: El Hezmir Youssef
Published: (2021)

Brain-to-text communication via Deep Feature Learning of EEG Signals
by: Juhász Kinga
Published: (2023)

Application of Transformer-based Neural Networks in Multiomics Studies
by: Szepesi Nagy István
Published: (2024)

Development of Signal Processing and Classification Algorithms for Electromyography based Bionic Prosthetic Hand
by: Nurfeta Eyoel Ajebu
Published: (2022)

Applications of Cellular Neural/Nonlinear Networks in Physics
by: Ercsey-Ravasz Mária-Magdolna
Published: (2008)

Study of artificial neural network pruning strategies
by: Belánszki Tibor
Published: (2023)

Evaluation of pruning methods for artificial neural networks
by: Borcsiczky Judit
Published: (2023)

Automatic Classification of Spinal Injuries Using Machine Learning
by: Szigeti Mark Bence
Published: (2024)

Quantifying human emotions using Frontal EEG Asymmetry
by: Paller Nóra
Published: (2015)

Activity Recognition Using CNN Networks
by: Mallick Rupayan
Published: (2014)

Applying neural network based algorithms in communication technology
by: Tisza Dávid
Published: (2019)

Studying the dynamics of a neural network model of the hippocampus
by: Steinbach-Németh Orsolya
Published: (2014)

Comparison of bio-inspired neural networks for continual learning
by: Joós András György
Published: (2023)

Deep Learning based methods fo data classification in sensor networks
by: Bagdi Richárd Mózes
Published: (2014)

Fast banknote recognition on image flows with deep neural networks
by: Anley Zelalem Birhan
Published: (2016)

Exploitation, detection and prevention of Adversarial Attacks on Deep Neural Networks
by: Kontár Soma Gábor
Published: (2015)

Trained neural network on electromyographic data for the control of cranking movements
by: Radeleczki Balázs
Published: (2021)

Study of pruning strategies and its effectiveness in artificial neural networks
by: Dulovits Árpád
Published: (2023)

Estimation of blood pressure using signals measured by cuffless non-invasive methods
by: Lóránth Máté
Published: (2022)

Cooperative control of two robotic arms with separate deep neural networks
by: Tihanyi Kinga
Published: (2016)

Visualization and Interpretation of Artificial Neural Networks for the Analysis of Cardiac Ultrasound Recordings
by: Szigeti Mark Bence
Published: (2022)

Motor insurance harmonisation in the EU
by: Pálfi Tamás
Published: (2010)

Analysis of combined electrophysiological and video signals using conventional and deep learning based methods
by: Jász Anna
Published: (2014)

Crop disease diagnose using classification based on feature-based methods and Deep Learning
by: Prada González Andrés
Published: (2019)

A no-report imagery-based priming paradigm to detect aphantasia
by: Sütöri Sára
Published: (2020)

Random Walk and Its Application in Network Analysis Used for Gene Prioritization
by: Oláh Balázs
Published: (2011)

Optimizing Transformer-based Neural Networks for Enhanced Ab Initio Gene Prediction in ESKAPE Pathogens
by: Ortiz Nicole
Published: (2024)

Brain age prediction based on convolutional neural networks trained on T1 weighted MRI volumes
by: Kemenczky Péter
Published: (2015)

Psychiatric disorder recognition and quantifying stages of progression through movement analysis, with the help of artificial neural networks
by: Fráter Csenge
Published: (2015)