| Measuring power consumption in mobile devices for energy sustainable app development: A comparative study and challenges MU Khan, S Abbas, SUJ Lee, A Abbas Sustainable Computing: Informatics and Systems 31, 100589, 2021 | 16 | 2021 |
| A review of nlidb with deep learning: findings, challenges and open issues S Abbas, MU Khan, SUJ Lee, A Abbas, AK Bashir IEEE Access 10, 14927-14945, 2022 | 15 | 2022 |
| Detecting wake lock leaks in android apps using machine learning MU Khan, SUJ Lee, S Abbas, A Abbas, AK Bashir IEEE Access 9, 125753-125767, 2021 | 4 | 2021 |
| Energy-leaks in android application development: Perspective and challenges MU Khan, S Abbas, SUJ Lee, A Abbas Journal of Theoretical and Applied Information Technology 98 (22), 3591-3601, 2020 | 2 | 2020 |
| Columns Occurrences Graph to Improve Column Prediction in Deep Learning Nlidb S Abbas, MU Khan, SUJ Lee, A Abbas Applied Sciences 11 (24), 12116, 2021 | 1 | 2021 |
| Wake lock leak detection in android apps using multi-layer perceptron MU Khan, SUJ Lee, Z Wu, S Abbas Electronics 10 (18), 2211, 2021 | 1 | 2021 |
| Pipeline and deep learning approach for NLIDB: A comparative study MU Khan, S Abbas, A Abbas, SUJ Lee Journal of Theoretical and Applied Information Technology 98 (22), 2020 | 1 | 2020 |
| Improving Column Prediction Accuracy of NLIDB with Historical Column Occurrences Score S Abbas 한양대학교, 2022 | | 2022 |
