| Employing artificial neural networks for constructing metadata-based model to automatically select an appropriate data visualization technique T Muhammad, Z Halim Applied Soft Computing 49, 365-384, 2016 | 41 | 2016 |
| Quantifying and optimizing visualization: An evolutionary computing-based approach Z Halim, T Muhammad Information Sciences 385, 284-313, 2017 | 36 | 2017 |
| Artificial neural network-based speech recognition using dwt analysis applied on isolated words from oriental languages B Rehmam, Z Halim, G Abbas, T Muhammad Malaysian Journal of Computer Science 28 (3), 242-262, 2015 | 35 | 2015 |
| Priming mechanism: soil amended with crop residue S Muhammad, RG Joergensen, T Mueller, TS Muhammad Pakistan Journal of Botany 39 (4), 1155, 2007 | 18 | 2007 |
| GA-IRACE: Genetic algorithm-based improved resource aware cost-efficient scheduler for cloud fog computing environment JU Arshed, M Ahmed, T Muhammad, M Afzal, M Arif, B Bazezew Wireless Communications and Mobile Computing 2022, 2022 | 11 | 2022 |
| Comparative use of organic substrates and mineral fertilizers in growing maize (Zea mays L.) for maintaining soil fertility in rainfed area of Pakistan S Muhammad, TS Muhammad Pakistan Journal of Botany 39 (6), 1953-1959, 2007 | 6 | 2007 |
| Web video classification with visual and contextual semantics M Afzal, N Shah, T Muhammad International Journal of Communication Systems 32 (13), e3994, 2019 | 5 | 2019 |
| Increasing network lifetime and data transfer through node vulnerability aware routing in Wireless Sensor Networks R Khan, SN Khan, M Ahmad, T Muhammad 2010 International Conference on Information and Emerging Technologies, 1-5, 2010 | 5 | 2010 |
| Machine learning in the boardroom: gender diversity prediction using boosting and undersampling methods WB Khidmat, A Hammouda, T Muhammad Research in International Business and Finance 66, 102053, 2023 | 3 | 2023 |
| Visualizing trace of Java collection APIs by dynamic bytecode instrumentation T Muhammad, Z Halim, MA Khan Journal of Visual Languages & Computing 43, 14-29, 2017 | 2 | 2017 |
| Identifying performance issues based on method invocation patterns of an API MA Khan, S Muhammad, T Muhammad Proceedings of the 18th International Conference on Evaluation and …, 2014 | 2 | 2014 |
| Runtime invocation analysis of API objects in large code base MA Khan, S Muhammad, T Muhammad 2013 International Conference on Computer Sciences and Applications, 463-468, 2013 | 2 | 2013 |
| A Machine Learning Based Predictive Model to Diagnose Heart Failure Patients using Imbalanced Classification Problem M Mudassar, M Afzal, T Muhammad 2023 4th International Conference on Advancements in Computational Sciences …, 2023 | 1 | 2023 |
| Research article GA-IRACE: genetic algorithm-based improved resource aware cost-efficient scheduler for cloud fog computing environment JU Arshed, M Ahmed, T Muhammad, M Afzal, M Arif, B Bazezew | 1 | 2022 |
| Selecting, Quantifying, Optimizing, and Understanding Visualization Techniques: A Computational Intelligence-Based Approach T Muhammad Ghulam Ishaq Khan Institute of Engineering Sciences and Technology Topi …, 2016 | | 2016 |
| ClassSpy: Java Object Pattern Visualization Tool T Muhammad, Z Halim, MA Khan arXiv preprint arXiv:1406.2099, 2014 | | 2014 |
| Identifying Performance Issues Based on Method Invocation Patterns of an API (Preprint Version) MA Khan, T Muhammad | | |
Zahid HalimGIK Institute of Engineering Sciences and TechnologyVerified email at giki.edu.pk
