| No. | Title | Details |
| 1 | Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy | Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Tieng Wei Koh (2022). Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. Plos ONE |
| 2 | Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart cities | Butt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., Koh, T. W., & Sherazi, H. H. R. (2021). Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart cities. IEEE Access, 9, 47516-47529. |
| 3 | Spatio-temporal crime HotSpot detection and prediction: a systematic literature review. | Butt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., & Sherazi, H. H. R. (2020). Spatio-temporal crime HotSpot detection and prediction: a systematic literature review. IEEE Access, 8, 166553-166574. |
| 4 | Feature based algorithmic analysis on American sign language dataset. | Butt, U. M., Husnain, B., Ahmed, U., Tariq, A., Tariq, I., Butt, M. A., & Zia, M. S. (2019). Feature based algorithmic analysis on American sign language dataset. Int. J. Adv. Comput. Sci. Appl, 10, 583-589. |
| 5 | Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. | Butt, U. M., Letchmunan, S., Ali, M., Hassan, F. H., Baqir, A., & Sherazi, H. H. R. (2021). Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Journal of healthcare engineering, 2021. |
| 6 | Automatic signature segmentation using hyper-spectral imaging. | Butt, U. M., Ahmad, S., Shafait, F., Nansen, C., Mian, A. S., & Malik, M. I. (2016, October). Automatic signature segmentation using hyper-spectral imaging. In 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 19-24). IEEE. |
| 7 | Mobile cloud computing future trends and opportunities. | Umair, S., Muneer, U., Zahoor, M. N., & Malik, A. W. (2016). Mobile cloud computing future trends and opportunities. In Managing and processing big data in cloud computing (pp. 105-120). IGI Global. |
| 8 | Mobile computing: issues and challenges. | Umair, S., Muneer, U., Zahoor, M. N., & Malik, A. W. (2015, December). Mobile computing: issues and challenges. In 2015 12th international conference on high-capacity optical networks and enabling/emerging technologies (HONET) (pp. 1-5). IEEE. |
| 9 | Educational data classification framework for community pedagogical content management using data mining. | Mushtaq, H., Siddique, I., Malik, B. H., Ahmed, M., Butt, U. M., Ghafoor, R. M. T., … & Farooq, U. (2019). Educational data classification framework for community pedagogical content management using data mining. Int. J. Adv. Comput. Sci. Appl, 10(1), 329-338. |
| 10 | An Enhanced Firefly Algorithm using Pattern Search for Solving Optimization Problems. | F Wahid, MS Zia, RNB Rais, M Aamir, UM Butt, M Ali, A Ahmed, IA Khan et al. “An Enhanced Firefly Algorithm using Pattern Search for Solving Optimization Problems”. IEEE Access, August 2020, Vol. 8, 148264-148288. |
| 11 | Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture. | Khan, T., Sherazi, H. H. R., Ali, M., Letchmunan, S., & Butt, U. M. (2021). Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture. Agronomy, 11(8), 1551. |
| 12 | A Deep Insight into Signature Verification Using Deep Neural Network. | Butt, U. M., Masood, F., Razzaq, S., Dar, Z., Azhar, S., Abbas, I., & Ahmad, M. (2020, September). A Deep Insight into Signature Verification Using Deep Neural Network. In Proceedings of SAI Intelligent Systems Conference (pp. 128-138). Springer, Cham. |
| 13 | Ensemble Usage for Classification of EEG Signals A Review with Comparison. | Z Unnisa, S Zia, UM Butt, S Letchmunan, S Ilyas. “Ensemble Usage for Classification of EEG Signals A Review with Comparison.” In International Conference on Human-Computer Interaction, pp. 189-208. Springer, Cham, 2020 |
| 14 | Predicting the Future Transaction from Large & Imbalanced Banking Dataset | S Ilyas, S Zia, UM Butt, S Letchmunan, Z un Nisa. “Predicting the Future Transaction from Large & Imbalanced Banking Dataset”, International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 273-286 January 2020. |
| 15 | Analysis of Deep Neural Networks For Human Activity Recognition in Videos–A Systematic Literature Review. | Ullah, H. A., Letchmunan, S., Zia, M. S., Butt, U. M., & Hassan, F. H. (2021). Analysis of Deep Neural Networks For Human Activity Recognition in Videos–A Systematic Literature Review. IEEE Access. |
| 16 | Detecting video surveillance using VGG19 convolutional neural networks. | Butt, U. M., Letchmunan, S., Hassan, F. H., Zia, S., & Baqir, A. (2020). Detecting video surveillance using VGG19 convolutional neural networks. Int. J. Adv. Comput. Sci. Appl., 11(2), 674-682. |
| 17 | Model for Predicting Educational Domain Rate based on the Regional Level. | Tariq, A., Tariq, I., Abbas, A., Butt, M. A., Shahid, M., & Butt, U. M. (2018). Model for Predicting Educational Domain Rate based on the Regional Level. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 9(9), 88-92. |
| 18 | Classification of Non Discriminant ERD/ERS Comprising MI EEG Signals | Z unnisa Asif, MS Zia, A Abbas, S Ilyas, UM Butt. “Classification of Non Discriminant ERD/ERS Comprising MI EEG Signals” International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 364-375, January 2020. |
| 19 | Causal Impact Analysis on Android Market. | AmanUllah, H., Fatima, M., Muneer, U., Ilyas, S., Rehman, R. A., & Afzal, I. Causal Impact Analysis on Android Market. https://dx.doi.org/10.14569/IJACSA.2019.0100644 |
