| Machine Learning Approaches in COVID-19 Diagnosis, Mortality, and Severity Risk Prediction: A Review N Alballa, I Al-Turaiki Informatics in Medicine Unlocked, 2021 | 183 | 2021 |
| Arabic handwriting recognition system using convolutional neural network N Altwaijry, I Al-Turaiki Neural Computing and Applications, 2020 | 172 | 2020 |
| Predicting Critical Courses Affecting Students Performance: A Case Study Y Altujjar, W Altamimi, I Al-Turaiki, M Al-Razgan Fourth Symposium on Data Mining Applications, 2016 | 99 | 2016 |
| Building predictive models for MERS-CoV infections using data mining techniques I Al-Turaiki, M Alshahrani, T Almutairi Journal of Infection and Public Health 9 (6), 744-748, 2016 | 81 | 2016 |
| Finding Similar Documents using Different Clustering Techniques SJ Al-Anazi, HS Al-Mahmoud, I Al-Turaiki, Fourth Symposium on Data Mining Applications, 2016 | 77 | 2016 |
| A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection I Al-Turaiki, N Altwaijry Big Data 9 (3), 233-252, 2021 | 68 | 2021 |
| A Recurrent Neural Network Model to Predict Blood-Brain Barrier Permeability S Alsenan, I Al-Turaiki, A Hafez Computational Biology and Chemistry, 107377, 2020 | 55 | 2020 |
| Modeling Traffic Accidents in Saudi Arabia using Classification Techniques I Al-Turaiki, M Aloumi, N Aloumi, K Alghamdi The 4th Saudi International Conference on Information Technology (Big Data …, 2016 | 34 | 2016 |
| Feature Extraction Methods in Quantitative Structure-Activity Relationship Modeling: A Comparative Study S Alsenan, I Al-Turaiki, A Hafez IEEE Access 8 (1), 2020 | 32 | 2020 |
| Molecular Characterization of Sarcocystis Species Isolated from Sheep and Goats in Riyadh, Saudi Arabia DM Metwally, MA Al-Damigh, IM Al-Turaiki, MF El-Khadragy Animals 9 (5), 2019 | 27 | 2019 |
| Early Detection of Red Palm Weevil, Rhynchophorus ferrugineus (Olivier), Infestation Using Data Mining H Kurdi, A Al-Aldawsari, I Al-Turaiki, A Aldawood Plants 10 (1), 2021 | 21 | 2021 |
| Mitigating Email Phishing Attacks using Convolutional Neural Networks R Alotaibi, I Al-Turaiki, F Alakeel 3rd International Conference on Computer Applications & Information Security …, 2020 | 19 | 2020 |
| Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia I Al-Turaiki, F Almutlaq, H Alrasheed, Alballa International Journal of Environmental Research and Public Health. 8 (16), 2021 | 17 | 2021 |
| Analyzing Passive BCI Signals to Control Adaptive Automation Devices G Al-Hudhud, L Alqahtani, H Albaity, D Alsaeed, I Al-Turaiki Sensors 19 (14), 2019 | 16 | 2019 |
| Gene-based molecular analysis of COX1 in Echinococcus granulosus cysts isolated from naturally infected livestock in Riyadh, Saudi Arabia MFEK Dina M. Metwally , Latifa E. Qassim, Isra M. Al-Turaiki, Rafa S. Almeer PLOS ONE 13 (4), 1-13, 2018 | 16* | 2018 |
| A deep learning approach to predict blood-brain barrier permeability S Alsenan, I Al-Turaiki, A Hafez PeerJ Computer Science 7 (e515), 2021 | 15 | 2021 |
| Autoencoder-based Dimensionality Reduction for QSAR Modeling S Alsenan, I Al-Turaiki, A Hafez 3rd International Conference on Computer Applications & Information Security …, 2020 | 13 | 2020 |
| Computational approaches for gene prediction: a comparative survey IM Al-Turaiki, H Mathkour, A Touir, S Hammami Informatics Engineering and Information Science: International Conference …, 2011 | 11 | 2011 |
| Molecular Identification of Trypanosoma evansi Isolated from Arabian Camels (Camelus dromedarius) in Riyadh and Al-Qassim, Saudi Arabia D Metwally, I Al-Turaiki, N Altwaijry, S Alghamdi, A Alanazi Animals 11 (4), 1149, 2021 | 10 | 2021 |
| A Deep learning Approach for Anomaly-based Network Intrusion Detection N Altwaijry, A ALQahtani, I Al-Turaiki International Conference on Big Data and Security (ICBDS 2019), Nanjing, China., 2019 | 10 | 2019 |
Ameur A TouirKing Saud UniversityDirección de correo verificada de ksu.edu.sa
