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Mohammed Diykh
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 18
Top Topics
Eeg Signals
Support Vector
Fractal Dimension
Svm Classification
Top Venues
Expert Syst. Appl.
Biomed. Signal Process. Control.
Comput. Methods Programs Biomed.
HIS
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Publications
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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 (2024)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
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)
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)
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 (2021)
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 (2021)
Mohammed Diykh
,
Yan Li
,
Shahab A. Abdulla
EEG sleep stages identification based on weighted undirected complex networks.
Comput. Methods Programs Biomed.
184 (2020)
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 (2020)
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)
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)
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 (2018)
Mohammed Diykh
,
Yan Li
,
Peng Wen
Classify epileptic EEG signals using weighted complex networks based community structure detection.
Expert Syst. Appl.
90 (2017)
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 (2017)
Mohammed Diykh
,
Yan Li
Complex networks approach for EEG signal sleep stages classification.
Expert Syst. Appl.
63 (2016)
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) (2016)