Effective early detection of epileptic seizures through EEG signals using classification algorithms based on t-distributed stochastic neighbor embedding and K-means
Epilepsy is a neurological disorder in the activity of brain cells that leads to seizures. An
electroencephalogram (EEG) can detect seizures as it contains physiological information of …
electroencephalogram (EEG) can detect seizures as it contains physiological information of …
Congestion Control Prediction Model for 5G Environment Based on Supervised and Unsupervised Machine Learning Approach
With the emergence of 5G technology, congestion control become a vital and main
challenge to be addressed in order to have efficient communication. There are several …
challenge to be addressed in order to have efficient communication. There are several …
Handling Delayed Labeling of EEG Data Stream Using Semi-Supervised Label Propagation
HK Fatlawi, A Kiss - 2023 15th International Conference on …, 2023 - ieeexplore.ieee.org
Research interest in data stream classification is increasing through the development of
adaptive machine learning techniques. These techniques involve continuously adjusting the …
adaptive machine learning techniques. These techniques involve continuously adjusting the …