A review on machine learning styles in computer vision—techniques and future directions SV Mahadevkar, B Khemani, S Patil, K Kotecha, DR Vora, A Abraham, ... Ieee Access 10, 107293-107329, 2022 | 107 | 2022 |
Progress on artificial neural networks for big data analytics: a survey H Chiroma, UA Abdullahi, AA Alarood, LA Gabralla, N Rana, L Shuib, ... IEEE Access 7, 70535-70551, 2018 | 60 | 2018 |
Development of an end-to-end deep learning framework for sign language recognition, translation, and video generation B Natarajan, E Rajalakshmi, R Elakkiya, K Kotecha, A Abraham, ... IEEE Access 10, 104358-104374, 2022 | 51 | 2022 |
Lung cancer detection on CT scan images: a review on the analysis techniques H Mahersia, M Zaroug, L Gabralla Lung Cancer 4 (4), 10.14569, 2015 | 49 | 2015 |
Oil price prediction using ensemble machine learning LA Gabralla, R Jammazi, A Abraham 2013 International Conference on Computing, Electrical and Electronic …, 2013 | 47 | 2013 |
Computational modeling of crude oil price forecasting: A review of two decades of research LA Gabralla, A Abraham International Journal of Computer Information Systems and Industrial …, 2013 | 45 | 2013 |
Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture E Rajalakshmi, R Elakkiya, V Subramaniyaswamy, LP Alexey, G Mikhail, ... IEEE Access 11, 2226-2238, 2023 | 31 | 2023 |
Fault detection in induction motor using time domain and spectral imaging-based transfer learning approach on vibration data S Misra, S Kumar, S Sayyad, A Bongale, P Jadhav, K Kotecha, ... Sensors 22 (21), 8210, 2022 | 30 | 2022 |
Multilayer stacked ensemble learning model to detect phishing websites LR Kalabarige, RS Rao, A Abraham, LA Gabralla IEEE Access 10, 79543-79552, 2022 | 27 | 2022 |
Recent advances in mobile touch screen security authentication methods: A systematic literature review TM Ibrahim, AA Alarood, H Chiroma, MA Al-garadi, N Rana, ... Computers & Security 85, 1-24, 2019 | 26 | 2019 |
Prediction of oil prices using bagging and random subspace LA Gabralla, A Abraham Proceedings of the Fifth International Conference on Innovations in Bio …, 2014 | 20 | 2014 |
Machine learning algorithms for improving security on touch screen devices: a survey, challenges and new perspectives AA Bello, H Chiroma, AY Gital, LA Gabralla, SM Abdulhamid, L Shuib Neural Computing and Applications 32, 13651-13678, 2020 | 18 | 2020 |
Epileptic seizure prediction based on hybrid seek optimization tuned ensemble classifier using EEG signals B Kapoor, B Nagpal, PK Jain, A Abraham, LA Gabralla Sensors 23 (1), 423, 2022 | 17 | 2022 |
Detecting elderly behaviors based on deep learning for healthcare: Recent advances, methods, real-world applications and challenges M Almutairi, LA Gabralla, S Abubakar, H Chiroma IEEE Access 10, 69802-69821, 2022 | 17 | 2022 |
Denoising CT Images using wavelet transform L Gabralla, H Mahersia, M Zaroug International Journal of Advanced Computer Science and Applications 6 (5 …, 2015 | 17 | 2015 |
Kids’ emotion recognition using various deep-learning models with explainable ai M Rathod, C Dalvi, K Kaur, S Patil, S Gite, P Kamat, K Kotecha, ... Sensors 22 (20), 8066, 2022 | 15 | 2022 |
Smart home automation: taxonomy, composition, challenges and future direction O Taiwo, LA Gabralla, AE Ezugwu Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020 | 15 | 2020 |
Ensemble neurocomputing based oil price prediction LA Gabralla, H Mahersia, A Abraham Afro-European Conference for Industrial Advancement: Proceedings of the …, 2015 | 15 | 2015 |
Explainable misinformation detection across multiple social media platforms G Joshi, A Srivastava, B Yagnik, M Hasan, Z Saiyed, LA Gabralla, ... IEEE Access 11, 23634-23646, 2023 | 14 | 2023 |
A survey: To govern, protect, and detect security principles on internet of medical things (iomt) TA Alhaj, SM Abdulla, MAE Iderss, AAA Ali, FA Elhaj, MA Remli, ... IEEE Access 10, 124777-124791, 2022 | 14 | 2022 |