Mohammed Diykh

27 papers C 6Journal 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A robust artificial intelligence informed over complete rational dilation wavelet transform technique coupled with deep learning for long-term rainfall prediction.
Eng. Appl. Artif. Intell.
Mohammed Diykh, Mumtaz Ali, Aitazaz Ahsan Farooque, Anwar Ali Aldhafeeri, Mehdi Jamei, Abdulhaleem H. Labban
2026 J jnl
Drone-based RGB to thermal image translation: a novel approach for non-destructive crop monitoring.
Expert Syst. Appl.
Mohammed Diykh, Mumtaz Ali, Aitazaz Ahsan Farooque, Salem Al-Naemi, Raheleh Malekian, Hassan Afzaal, Gurjit S. Randhawa, Paul Sheridan, Travis J. Esau
2025 J jnl
EEG based over-complete rational dilation wavelet transform coupled with autoregressive for motor imagery classification.
Expert Syst. Appl.
Hadi Ratham Al Ghayab, Yan Li, Mohammed Diykh, Aqeel Sahi, Shahab A. Abdulla, Ahmed Rashid Alkhuwaylidee
2025 J jnl
SGDM-GRU: Spectral graph deep learning based Gated Recurrent Unit model for accurate fake news detection.
Expert Syst. Appl.
Aqeel Sahi, Mostfa Albdair, Mohammed Diykh, Shahab A. Abdulla, Hadi Ratham Al Ghayab, Kaled Aljebur, Sarmad K. D. Alkhafaji
2025 J jnl
The Influence Maximization in Complex Networks: Significant Trends, Leading Contributors, and Prospective Directions.
Complex.
Elaf Adel Abbas, Raaid Alubady, Aqeel Sahi, Mohammed Diykh, Shahab A. Abdulla
2024 J jnl
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric.
Mohammed Diykh, Mumtaz Ali, Mehdi Jamei, Shahab A. Abdulla, Md Palash Uddin, Aitazaz Ahsan Farooque, Abdulhaleem H. Labban, Hussein Alabdally
2024 C conf
Layered Model Stacking: Enhancing DDoS Detection Through Advanced Ensemble Machine Learning Techniques.
TENCON
Nabeel Mahdy Haddad, Aqeel Sahi, Mohammed Diykh, Kaled Aljbur, Ali Kutfan, Shahab A. Abdulla, Hayder Al-Hraishawi
2024 C conf
Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model.
HIS
Shahab A. Abdulla, Amar S. Majeed, Ali Basim Al-Khafaji, Wesaam Alsalman, Mohammed Diykh, Aqeel Sahi, Hussein Alabdally, Khaleel Ali Khudhur
2024 C conf
Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models.
HIS
Suha Zadain Hmoud, Mohammed Diykh, Shahab A. Abdulla, Hussein Alabdally, Aqeel Sahi
2023 J jnl
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification.
Int. J. Medical Informatics
Shahab A. Abdulla, Mohammed Diykh, Siuly Siuly, Mumtaz Ali
2023 J jnl
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition.
Comput. Methods Programs Biomed.
Mohammed Diykh, Shahab A. Abdulla, Ravinesh C. Deo, Siuly Siuly, Mumtaz Ali
2023 J jnl
Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms.
Biomed. Signal Process. Control.
Hadeer Mohammed, Mohammed Diykh
2022 C conf
An Intelligence Approach for Blood Pressure Estimation from Photoplethysmography Signal.
HIS
Shahab A. Abdulla, Mohammed Diykh, Sarmad K. D. Alkhafaji, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Rand Ameen Azeez
2022 J jnl
Developing Smart Self Orienting Solar Tracker for Mobile PV Power Generation Systems.
IEEE Access
Yousif R. Al-Saadi, Monaf S. Tapou, Areej A. Badi, Shahab A. Abdulla, Mohammed Diykh
2022 C conf
ECG Signals Classification Model Based on Frequency Domain Features Coupled with Least Square Support Vector Machine (LS-SVM).
HIS
Rand Ameen Azeez, Sarmad K. D. Alkhafaji, Mohammed Diykh, Shahab A. Abdulla
2021 C conf
A Novel Alcoholic EEG Signals Classification Approach Based on AdaBoost k-means Coupled with Statistical Model.
HIS
Mohammed Diykh, Shahab A. Abdulla, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Siuly Siuly
2021 J jnl
A new framework for classification of multi-category hand grasps using EMG signals.
Artif. Intell. Medicine
Firas Sabar Miften, Mohammed Diykh, Shahab A. Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh C. Deo
2021 J jnl
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis.
Frontiers Neuroinformatics
Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
2020 J jnl
Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications.
Expert Syst. Appl.
Hanan Al-Hadeethi, Shahab A. Abdulla, Mohammed Diykh, Ravinesh C. Deo, Jonathan H. Green
2020 J jnl
EEG sleep stages identification based on weighted undirected complex networks.
Comput. Methods Programs Biomed.
Mohammed Diykh, Yan Li, Shahab A. Abdulla
2019 J jnl
Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals.
Biomed. Signal Process. Control.
Mohammed Diykh, Shahab A. Abdulla, Khalid Saleh, Ravinesh C. Deo
2019 J jnl
Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm.
Expert Syst. Appl.
Shahab A. Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo
2018 J jnl
An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image.
Biomed. Signal Process. Control.
Wessam Al-salman, Yan Li, Peng Wen, Mohammed Diykh
2017 J jnl
An Efficient DDoS TCP Flood Attack Detection and Prevention System in a Cloud Environment.
IEEE Access
Aqeel Sahi Khader, David Lai, Yan Li, Mohammed Diykh
2017 J jnl
Classify epileptic EEG signals using weighted complex networks based community structure detection.
Expert Syst. Appl.
Mohammed Diykh, Yan Li, Peng Wen
2016 J jnl
Classification of epileptic EEG signals based on simple random sampling and sequential feature selection.
Brain Informatics
Hadi Ratham Al Ghayab, Yan Li, Shahab A. Abdulla, Mohammed Diykh, Xiangkui Wan
2016 J jnl
Complex networks approach for EEG signal sleep stages classification.
Expert Syst. Appl.
Mohammed Diykh, Yan Li