| An efficient DDoS TCP flood attack detection and prevention system in a cloud environment A Sahi, D Lai, Y Li, M Diykh IEEE Access 5, 6036-6048, 2017 | 188 | 2017 |
| EEG sleep stages classification based on time domain features and structural graph similarity M Diykh, Y Li, P Wen IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (11 …, 2016 | 188 | 2016 |
| Classification of epileptic EEG signals based on simple random sampling and sequential feature selection HRA Ghayab, Y Li, S Abdulla, M Diykh, X Wan Brain informatics 3, 85-91, 2016 | 102 | 2016 |
| Complex networks approach for EEG signal sleep stages classification M Diykh, Y Li Expert Systems with Applications 63, 241-248, 2016 | 101 | 2016 |
| Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications H Al-Hadeethi, S Abdulla, M Diykh, RC Deo, JH Green Expert Systems with Applications 161, 113676, 2020 | 99 | 2020 |
| Classify epileptic EEG signals using weighted complex networks based community structure detection M Diykh, Y Li, P Wen Expert Systems with Applications 90, 87-100, 2017 | 97 | 2017 |
| Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm S Abdulla, M Diykh, RL Laft, K Saleh, RC Deo Expert Systems with Applications 138, 112790, 2019 | 64 | 2019 |
| EEG sleep stages identification based on weighted undirected complex networks M Diykh, Y Li, S Abdulla Computer methods and programs in biomedicine 184, 105116, 2020 | 63 | 2020 |
| A new framework for classification of multi-category hand grasps using EMG signals FS Miften, M Diykh, S Abdulla, S Siuly, JH Green, RC Deo Artificial Intelligence in Medicine 112, 102005, 2021 | 47 | 2021 |
| Fractal dimension undirected correlation graph-based support vector machine model for identification of focal and non-focal electroencephalography signals M Diykh, S Abdulla, K Saleh, RC Deo Biomedical Signal Processing and Control 54, 101611, 2019 | 31 | 2019 |
| Texture analysis based graph approach for automatic detection of neonatal seizure from multi-channel EEG signals M Diykh, FS Miften, S Abdulla, RC Deo, S Siuly, JH Green, AY Oudahb Measurement 190, 110731, 2022 | 28 | 2022 |
| Complex networks approach for depth of anesthesia assessment M Diykh, Y Li, P Wen, T Li Measurement 119, 178-189, 2018 | 27 | 2018 |
| An efficient approach for EEG sleep spindles detection based on fractal dimension coupled with time frequency image W Al-Salman, Y Li, P Wen, M Diykh Biomedical Signal Processing and Control 41, 210-221, 2018 | 26 | 2018 |
| Robust approach to depth of anaesthesia assessment based on hybrid transform and statistical features<? show [AQ ID= Q1]?> M Diykh, FS Miften, S Abdulla, K Saleh, JH Green IET Science, Measurement & Technology 14 (1), 128-136, 2020 | 24 | 2020 |
| Developing a robust model to predict depth of anesthesia from single channel EEG signal I Alsafy, M Diykh Physical and Engineering Sciences in Medicine 45 (3), 793-808, 2022 | 19 | 2022 |
| Determinant of covariance matrix model coupled with adaboost classification algorithm for EEG seizure detection H Al-Hadeethi, S Abdulla, M Diykh, JH Green Diagnostics 12 (1), 74, 2021 | 19 | 2021 |
| Improving EEG major depression disorder classification using FBSE coupled with domain adaptation method based machine learning algorithms H Mohammed, M Diykh Biomedical Signal Processing and Control 85, 104923, 2023 | 15 | 2023 |
| An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classification S Abdulla, M Diykh, S Siuly, M Ali International Journal of Medical Informatics 171, 105001, 2023 | 15 | 2023 |
| A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment R Lafta, J Zhang, X Tao, Y Li, M Diykh, JCW Lin Big data in engineering applications, 363-384, 2018 | 15 | 2018 |
| Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition M Diykh, S Abdulla, RC Deo, S Siuly, M Ali Computer Methods and Programs in Biomedicine 229, 107305, 2023 | 11 | 2023 |
