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ORCIDMohammed Diykh
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2020 – today
- 2024
[j16]Mohammed Diykh, Mumtaz Ali, Mehdi Jamei, Shahab A. Abdulla, Md. Palash Uddin
, Aitazaz Ahsan Farooque, Abdulhaleem H. Labban, Hussein Alabdally:
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data. Comput. Electron. Agric. 221: 108964 (2024)- 2023
- [j15]Hadeer Mohammed, Mohammed Diykh:
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms. Biomed. Signal Process. Control. 85: 104923 (2023) - [j14]Mohammed Diykh, Shahab A. Abdulla, Ravinesh C. Deo, Siuly Siuly, Mumtaz Ali:
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition. Comput. Methods Programs Biomed. 229: 107305 (2023) - [j13]Shahab A. Abdulla, Mohammed Diykh, Siuly Siuly, Mumtaz Ali:
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification. Int. J. Medical Informatics 171: 105001 (2023) - 2022
- [j12]Yousif R. Al-Saadi, Monaf S. Tapou, Areej A. Badi, Shahab A. Abdulla, Mohammed Diykh:
Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems. IEEE Access 10: 79090-79099 (2022) - [c3]Shahab A. Abdulla, Mohammed Diykh, Sarmad K. D. AlKhafaji, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Rand Ameen Azeez:
An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal. HIS 2022: 54-63 - [c2]Rand Ameen Azeez, Sarmad K. D. Alkhafaji, Mohammed Diykh, Shahab A. Abdulla:
ECG Signals Classification Model Based on Frequency Domain Features Coupled with Least Square Support Vector Machine (LS-SVM). HIS 2022: 303-312 - 2021
- [j11]Firas Sabar Miften, Mohammed Diykh, Shahab A. Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh C. Deo:
A new framework for classification of multi-category hand grasps using EMG signals. Artif. Intell. Medicine 112: 102005 (2021) - [j10]Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green:
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis. Frontiers Neuroinformatics 15: 808339 (2021) - [c1]Mohammed Diykh, Shahab A. Abdulla, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Siuly Siuly:
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model. HIS 2021: 82-92 - 2020
- [j9]Mohammed Diykh, Yan Li, Shahab A. Abdulla:
EEG sleep stages identification based on weighted undirected complex networks. Comput. Methods Programs Biomed. 184: 105116 (2020) - [j8]Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green:
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications. Expert Syst. Appl. 161: 113676 (2020)
2010 – 2019
- 2019
- [j7]Mohammed Diykh, Shahab A. Abdulla, Khalid Saleh, Ravinesh C. Deo:
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals. Biomed. Signal Process. Control. 54 (2019) - [j6]Shahab A. Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo:
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm. Expert Syst. Appl. 138 (2019) - 2018
- [j5]Wessam Al-salman, Yan Li, Peng Wen, Mohammed Diykh:
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image. Biomed. Signal Process. Control. 41: 210-221 (2018) - 2017
- [j4]Aqeel Sahi Khader, David Lai, Yan Li, Mohammed Diykh:
An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment. IEEE Access 5: 6036-6048 (2017) - [j3]Mohammed Diykh, Yan Li, Peng Wen:
Classify epileptic EEG signals using weighted complex networks based community structure detection. Expert Syst. Appl. 90: 87-100 (2017) - 2016
- [j2]Hadi Ratham Al Ghayab, Yan Li, Shahab A. Abdulla, Mohammed Diykh, Xiangkui Wan:
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection. Brain Informatics 3(2): 85-91 (2016) - [j1]Mohammed Diykh, Yan Li:
Complex networks approach for EEG signal sleep stages classification. Expert Syst. Appl. 63: 241-248 (2016)
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