Mohammed Diykh
Orcid: 0000-0003-0018-4199
According to our database1,
Mohammed Diykh
authored at least 18 papers
between 2016 and 2023.
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Bibliography
2023
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms.
Biomed. Signal Process. Control., August, 2023
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Int. J. Medical Informatics, March, 2023
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed., February, 2023
2022
Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems.
IEEE Access, 2022
ECG Signals Classification Model Based on Frequency Domain Features Coupled with Least Square Support Vector Machine (LS-SVM).
Proceedings of the Health Information Science - 11th International Conference, 2022
An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal.
Proceedings of the Health Information Science - 11th International Conference, 2022
2021
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis.
Frontiers Neuroinformatics, 2021
Artif. Intell. Medicine, 2021
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model.
Proceedings of the Health Information Science - 10th International Conference, 2021
2020
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications.
Expert Syst. Appl., 2020
Comput. Methods Programs Biomed., 2020
2019
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl., 2019
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals.
Biomed. Signal Process. Control., 2019
2018
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image.
Biomed. Signal Process. Control., 2018
2017
Classify epileptic EEG signals using weighted complex networks based community structure detection.
Expert Syst. Appl., 2017
An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment.
IEEE Access, 2017
2016
Expert Syst. Appl., 2016
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection.
Brain Informatics, 2016