| Advances and trends in real time visual crowd analysis K Khan, W Albattah, RU Khan, AM Qamar, D Nayab Sensors 20 (18), 5073, 2020 | 34 | 2020 |
| Crowd counting using end-to-end semantic image segmentation K Khan, RU Khan, W Albattah, D Nayab, AM Qamar, S Habib, M Islam Electronics 10 (11), 1293, 2021 | 21 | 2021 |
| Prediction of scenarios for routing in MANETs based on expanding ring search and random early detection parameters using machine learning techniques MH Zafar, A Altalbe IEEE Access 9, 47033-47047, 2021 | 15 | 2021 |
| Prediction of foreign currency exchange rates using CGPANN D Nayab, G Muhammad Khan, SA Mahmud Engineering Applications of Neural Networks: 14th International Conference …, 2013 | 11 | 2013 |
| Adaptive expanding ring search based per hop behavior rendition of routing in MANETs Durr-e-Naya, MH Zafar, M Basheri CMC-COMPUTERS MATERIALS & CONTINUA 67 (1), 1137-1152, 2021 | 4 | 2021 |
| Effects of dataset attacks on machine learning models in e-health T Moulahi, SE Khediri, D Nayab, M Freihat, RU Khan Annals of Telecommunications 78 (11), 655-665, 2023 | 3 | 2023 |
| Smart energy management system for university campus using sine-cosine optimization algorithm I Hussain, I Ullah, R Ramalakshmi, M Ashfaq, D Nayab 2022 International Virtual Conference on Power Engineering Computing and …, 2022 | 3 | 2022 |
| Evolving dynamic forecasting model for foreign currency exchange rates using plastic neural networks GM Khan, D Nayab, SA Mahmud, H Zafar 2013 12th International Conference on Machine Learning and Applications 2, 15-20, 2013 | 3 | 2013 |
| Large-scale Distributive Matrix Collaborative Filtering for Recommender System F Ullah, B Zhang, G Zou, I Ullah, AM Qamar Proceedings of the 2020 International Conference on Computing, Networks and …, 2020 | 2 | 2020 |
| Data Augmentation and Random Multi-Model Deep Learning for Data Classification RUK Fatma Harby1, Adel Thaljaoui, Durre Nayab, Suliman Aladhadh, Salim EL ... Computers, Materials & Continua 74 (3), 5191-5207, 2022 | 1* | 2022 |
| Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic. AM Qamar, RU Khan, W Albattah, K Khan, S Habib, M Islam Computers, Materials & Continua 71 (3), 2022 | 1 | 2022 |
| Performance Augmentation of Base Classifiers Using Adaptive Boosting Framework for Medical Datasets RU Khan, AM Qamar Applied Computational Intelligence and Soft Computing 2023, 2023 | | 2023 |
| SP-DSTS-MIMO Scheme-Aided H.266 for Reliable High Data Rate Mobile Video Communication JN Khadem Ullah, Nasru Minallah, Durr-e-Nayab, Ishtiaque Ahmed, Jaroslav Frnda Computers, Materials & Continua, SI: Recent Developments in Antennas and …, 2022 | | 2022 |
| Adaptive Expanding Ring Search Based Per Hop Behavior Rendition of Routing in MANETs MB Durr-e-Nayab, Mohammad Haseeb Zafar Computers, Materials & Continua 67 (1), 1137-1152, 2021 | | 2021 |
| Adaptive Expanding Ring Search Based Per Hop Rendition of Routing in Manets Using Machine Learning DE Nayab PQDT-Global, 2021 | | 2021 |
| Crowd Counting through End-to-End Semantic Scene Segmentation. Electronics 2021, 10, 1293 K Khan, RU Khan, W Albattah, D Nayab, AM Qamar, S Habib, M Islam s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Advances and Trends in Real Time Visual Crowd Analysis. Sensors 2020, 20, 5073 DN Khalil Khan, Waleed Albattah, Rehan Ullah, Ali Mustafa MDPI: Sensors 2020 20 (18), 5073, 2020 | | 2020 |
| Learning Trends on the Fly in Time Series Data Using Plastic CGP Evolved Recurrent Neural Networks GM Khan Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | | 2018 |
| Features Extraction of Growth Trend in Social Websites Using Non-linear Genetic Programming U Khayam, D Nayab, GM Khan, SA Mahmud Artificial Intelligence Applications and Innovations: 10th IFIP WG 12.5 …, 2014 | | 2014 |
Rehan Ullah KhanDepartment of Information Technology, College of Computer, Qassim Univesity, Buraydah, Saudi ArabiaVerified email at qu.edu.sa
