| Machine learning based approaches for detecting COVID-19 using clinical text data AMUD Khanday, ST Rabani, QR Khan, N Rouf, M Mohi Ud Din International Journal of Information Technology 12 (3), 731-739, 2020 | 356 | 2020 |
| Identifying propaganda from online social networks during COVID-19 using machine learning techniques AMUD Khanday, QR Khan, ST Rabani International Journal of Information Technology 13 (1), 115-122, 2020 | 81 | 2020 |
| Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques AMUD Khanday, ST Rabani, QR Khan, SH Malik International Journal of Information Management Data Insights 2 (2), 100120, 2022 | 47 | 2022 |
| Detection of suicidal ideation on Twitter using machine learning & ensemble approaches ST Rabani, QR Khan, AMUD Khanday Baghdad science journal 17 (4), 1328-1328, 2020 | 36 | 2020 |
| SVMBPI: support vector machine-based propaganda identification AMUD Khanday, QR Khan, ST Rabani Cognitive Informatics and Soft Computing, 445-455, 2021 | 23 | 2021 |
| Fuzzy discrete event system (FDES): A Survey NJ Khan, G Ahamad, M Naseem, QR Khan Renewable Power for Sustainable Growth: Proceedings of International …, 2021 | 16 | 2021 |
| NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era AMUD Khanday, B Bhushan, RH Jhaveri, QR Khan, R Raut, ST Rabani Mobile Information Systems 2022, 2022 | 15 | 2022 |
| Detecting textual propaganda using machine learning techniques A Khanday, QR Khan, ST Rabani Baghdad Sci J 18 (1), 199-209, 2021 | 15 | 2021 |
| Detecting suicidality on social media: Machine learning at rescue ST Rabani, AMUD Khanday, QR Khan, UA Hajam, AS Imran, Z Kastrati Egyptian Informatics Journal 24 (2), 291-302, 2023 | 14 | 2023 |
| Hybrid approach for detecting propagandistic community and core node on social networks AMUD Khanday, MA Wani, ST Rabani, QR Khan Sustainability 15 (2), 1249, 2023 | 10 | 2023 |
| Routing protocols for internet of vehicles: A review F Ajaz, M Naseem, G Ahamad, QR Khan, S Sharma, E Abbasi AI and Machine Learning Paradigms for Health Monitoring System, 95-103, 2021 | 10 | 2021 |
| Quantifying Suicidal Ideation on Social Media using Machine Learning: A Critical Review ST Rabani, QR Khan, AMUD Khanday Iraqi Journal of Science, 2021 | 7 | 2021 |
| Multi-Class Suicide Risk Prediction on Twitter Using Machine Learning Techniques ST Rabani, QR Khan, AMUD Khanday 2020 2nd International Conference on Advances in Computing, Communication …, 2021 | 7 | 2021 |
| Analysing and Predicting Propaganda on Social Media using Machine Learning Techniques AMUD Khanday, QR Khan, ST Rabani 2020 2nd International Conference on Advances in Computing, Communication …, 2021 | 7 | 2021 |
| A Novel approach to predict the level of suicidal ideation on social networks using machine and ensemble learning ST Rabani, Qamar Rayees Khan, Akib Mohi ud Din Khanday ICTACT Journal of soft computing. (UGC CARE LIST), 2021 | 6 | 2021 |
| IoT-Smart Agriculture: Comparative Study on Farming Applications and Disease Prediction of Apple Crop using Machine Learning S Islam, S Jamwal, MH Mir, QR Khan Iraqi Journal of Science, 5520-5533, 2022 | 4 | 2022 |
| Machine learning techniques and computing technologies for IoT based smart healthcare (COVID-19 case study) MH Mir, S Jamwal, S Islam, QR Khan 2021 3rd International Conference on Advances in Computing, Communication …, 2022 | 4 | 2022 |
| A novel approach based information integrity modeling Q Khan, MA Butt, M Zaman, M Asger Inter. Jour. of Engineering Science and Innovative Technology (IJESIT) 2 (1 …, 2013 | 3 | 2013 |
| Propaganda identification on twitter platform during COVID-19 pandemic using LSTM AMUD Khanday, QR Khan, ST Rabani, MA Wani, M ELAffendi International Conference on Cybersecurity, Cybercrimes, and Smart Emerging …, 2022 | 2 | 2022 |
| Integrity Model based Intrusion Detection System: A Practical Approach Q Rayees, M Ahmed, M Zaman International Journal of Computer Applications 975, 8887, 2015 | 2 | 2015 |
Dr. Syed Tanzeel RabaniAssistant ProfessorVerified email at bgsbu.ac.in
