Automatic diagnosis of epileptic seizures in EEG signals using fractal dimension features and convolutional autoencoder method
This paper proposes a new method for epileptic seizure detection in
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …
electroencephalography (EEG) signals using nonlinear features based on fractal dimension …
Time domain based seizure onset analysis of brain signatures in pediatric EEG
A comprehensive insight into the epileptiform discharges at the time of seizure onset can aid
neurophysiologists in the diagnosis and treatment of epileptic seizures. Visual analysis of …
neurophysiologists in the diagnosis and treatment of epileptic seizures. Visual analysis of …
Sequential segmentation of EEG signals for epileptic seizure detection using machine learning
ZK Ahmad, V Singh, YU Khan - 2019 2nd International …, 2019 - ieeexplore.ieee.org
The problem of epilepsy has grown exponentially and is now considered as one of the most
prevailing neurological disorders affecting around 50 million people around the globe …
prevailing neurological disorders affecting around 50 million people around the globe …
Wavelet Transform and Morphological Processing Based License Plate Localization
P Pankaj Mukhija - Journal of Algebraic Statistics, 2022 - publishoa.com
Abstract Automatic License Plate Recognition (ALPR) system has a significant role in safety,
security and other services of transportation. ALPR is becoming a crucial part of an …
security and other services of transportation. ALPR is becoming a crucial part of an …