Muhammad Hussain
Cognitive Neuroscience · with Ahmad · 2015
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 12 citations into it
- Artificial Intelligence — 7 citations into it
- Signal Processing — 7 citations into it
Whom Muhammad Hussain trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Abdulhamit Subasi (in Cognitive Neuroscience)
Papers from Muhammad Hussain's perspective
Ordered by how strongly the researchers Muhammad Hussain trusts endorse each paper. Same corpus, a different order for every researcher.
- EEG signal classification using wavelet feature extraction and a mixture of expert model (Expert systems with applications)
- Combined neural network model employing wavelet coefficients for EEG signals classification (Digit. Signal Process.)
- Physiological time-series analysis using approximate entropy and sample entropy. (American Journal of Physiology. Heart and Circulatory Physiology)
- Wavelet entropy: a new tool for analysis of short duration brain electrical signals. (Journal of Neuroscience Methods)
- EEG Signal Classification Using Wavelet Feature Extraction and Neural Networks (John Vincent Atanasoff Symposium)
- EEG signals classification using the K-means clustering and a multilayer perceptron neural network model (Expert systems with applications)
- Application of Non-Linear and Wavelet Based Features for the Automated Identification of Epileptic EEG signals (International Journal of Neural Systems)
- EEG signal classification using PCA, ICA, LDA and support vector machines (Expert systems with applications)
- Data Mining Practical Machine Learning Tools and Techniques
- The Raven's progressive matrices: change and stability over culture and time. (Cognitive Psychology)