| Classification of Covid-19 coronavirus, pneumonia and healthy lungs in CT scans using Q-deformed entropy and deep learning features AM Hasan, MM Al-Jawad, HA Jalab, H Shaiba, RW Ibrahim, ... Entropy 22 (5), 517, 2020 | 162 | 2020 |
| Generating and analyzing chatbot responses using natural language processing M Aleedy, H Shaiba, M Bezbradica International Journal of Advanced Computer Science and Applications 10 (9), 2019 | 50 | 2019 |
| Energy efficient computation offloading mechanism in multi-server mobile edge computing—An integer linear optimization approach PW Khan, K Abbas, H Shaiba, A Muthanna, A Abuarqoub, M Khayyat Electronics 9 (6), 1010, 2020 | 44 | 2020 |
| Advanced deep learning for resource allocation and security aware data offloading in industrial mobile edge computing IA Elgendy, A Muthanna, M Hammoudeh, H Shaiba, D Unal, M Khayyat Big Data 9 (4), 265-278, 2021 | 41 | 2021 |
| Apriori-based algorithm for dubai road accident analysis M John, H Shaiba Procedia Computer Science 163, 218-227, 2019 | 37 | 2019 |
| E-Cops: An online crime reporting and management system for Riyadh city K Tabassum, H Shaiba, S Shamrani, S Otaibi 2018 1st International Conference on Computer Applications & Information …, 2018 | 33 | 2018 |
| Main factors influencing recovery in MERS Co-V patients using machine learning M John, H Shaiba Journal of infection and public health 12 (5), 700-704, 2019 | 30 | 2019 |
| Explainable heart disease prediction using ensemble-quantum machine learning approach G Abdulsalam, S Meshoul, H Shaiba Intell. Autom. Soft Comput 36 (1), 761-779, 2023 | 28 | 2023 |
| An efficient emergency patient monitoring based on mobile ad hoc networks K Tabassum, H Shaiba, NA Essa, HA Elbadie Journal of Organizational and End User Computing (JOEUC) 34 (4), 1-12, 2022 | 21 | 2022 |
| Predicting students’ academic performance and main behavioral features using data mining techniques S Almutairi, H Shaiba, M Bezbradica Advances in Data Science, Cyber Security and IT Applications: First …, 2019 | 19 | 2019 |
| Applying machine learning methods for predicting sand storms HA Shaiba, NS Alaashoub, AA Alzahrani 2018 1st International Conference on Computer Applications & Information …, 2018 | 10 | 2018 |
| Ensemble learning method for the prediction of breast cancer recurrence DA Almuhaidib, FM Albusayyis, HA Shaiba, MA Alzaid, NG Alharbi, ... 2018 1st International Conference on Computer Applications & Information …, 2018 | 10 | 2018 |
| Student perspective-based evaluation of online transition during the COVID-19 outbreak: a case study of PNU Students F Hajjej, S Ayouni, H Shaiba, AS Alluhaidan International Journal of Web-Based Learning and Teaching Technologies …, 2021 | 8 | 2021 |
| Fractional Renyi entropy image enhancement for deep segmentation of kidney MRI HA Jalab, AR Al-Shamasneh, H Shaiba, RW Ibrahim, D Baleanu | 8 | 2021 |
| Lexdeep: Hybrid lexicon and deep learning sentiment analysis using Twitter for unemployment-related discussions during covid-19 A Mohamed, ZM Zain, H Shaiba, N Alturki, G Aldehim, S Sakri, SFM Yatin, ... Computers, Materials & Continua 75 (1), 1577-1601, 2023 | 7 | 2023 |
| Weather Forecasting Prediction Using Ensemble Machine Learning for Big Data Applications MR Hadil Shaiba, Radwa Marzouk, Mohamed K Nour, Noha Negm, Anwer Mustafa ... Computers, Materials & Continua 73 (2), 3367--3382, 2022 | 7 | 2022 |
| Applying machine learning methods for predicting tropical cyclone rapid intensification events H Shaiba, M Hahsler Research Journal of Applied Sciences, Engineering and Technology 13 (8), 638-651, 2016 | 7 | 2016 |
| Big Data Analytics with Artificial Intelligence Enabled Environmental Air Pollution Monitoring Framework MR Manar Ahmed Hamza, Hadil Shaiba, Radwa Marzouk, Ahmad Alhindi, Mashael M ... Computers, Materials & Continua 73 (2), 3235--3250, 2022 | 6 | 2022 |
| Ensemble based foetal state diagnosis M John, H Shaiba 2020 6th Conference on Data Science and Machine Learning Applications (CDMA …, 2020 | 6 | 2020 |
| Security-aware data offloading and resource allocation for MEC systems: a deep reinforcement learning I Elgendy, A Muthanna, M Hammoudeh, HA Shaiba, D Unal, M Khayyat Authorea Preprints, 2023 | 4 | 2023 |
