Mohammed Diykh

Orcid: 0000-0003-0018-4199

According to our database1, Mohammed Diykh authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024

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

A new framework for classification of multi-category hand grasps using EMG signals.
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

EEG sleep stages identification based on weighted undirected complex networks.
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
Complex networks approach for EEG signal sleep stages classification.
Expert Syst. Appl., 2016

Classification of epileptic EEG signals based on simple random sampling and sequential feature selection.
Brain Informatics, 2016


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