A method for improving prediction of human heart disease using machine learning algorithms A Saboor, M Usman, S Ali, A Samad, MF Abrar, N Ullah Mobile Information Systems 2022 (1), 1410169, 2022 | 136 | 2022 |
A survey of retinal blood vessels extraction techniques: Challenges, Taxonomy and Future Trends et al Khan Bahader, Amir A. Khaliq, A. Jalil, M. Aksam Iftikhar, N. Ullah Pattern Analysis and Applications, 2018 | 93* | 2018 |
A comparative analysis of software reliability growth models using defects data of closed and open source software N Ullah, M Morisio, A Vetro 2012 35th Annual IEEE Software Engineering Workshop, 187-192, 2012 | 71 | 2012 |
ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images A Zeng, C Wu, G Lin, W Xie, J Hong, M Huang, J Zhuang, S Bi, D Pan, ... Computerized Medical Imaging and Graphics 109, 102287, 2023 | 49 | 2023 |
A novel approach to improve software defect prediction accuracy using machine learning I Mehmood, S Shahid, H Hussain, I Khan, S Ahmad, S Rahman, N Ullah, ... IEEE Access 11, 63579-63597, 2023 | 27 | 2023 |
An electrochemical PAH-modified aptasensor for the label-free and highly-sensitive detection of saxitoxin B Noureen, N Ullah, Y Tian, L Du, W Chen, C Wu, P Wang Talanta 240, 123185, 2022 | 27 | 2022 |
MRI imaging, comparison of MRI with other modalities, noise in MRI images and machine learning techniques for noise removal: a review SU Khan, N Ullah, I Ahmed, I Ahmad, MI Mahsud Current Medical Imaging 15 (3), 243-254, 2019 | 26 | 2019 |
A method for predicting open source software residual defects N Ullah Software Quality Journal 23, 55-76, 2015 | 24 | 2015 |
Selecting the best reliability model to predict residual defects in open source software N Ullah, M Morisio, A Vetrò Computer 48 (6), 50-58, 2014 | 19 | 2014 |
Op2Vec: An Opcode Embedding Technique and Dataset Design for End‐to‐End Detection of Android Malware KN Khan, N Ullah, S Ali, MS Khan, M Nauman, A Ghani Security and Communication Networks 2022 (1), 3710968, 2022 | 12 | 2022 |
An empirical analysis of open source software defects data through software reliability growth models N Ullah, M Morisio Eurocon 2013, 460-466, 2013 | 12 | 2013 |
Path-Loss and Energy Efficient Model (PLEEM) for wireless body area networks (WBANs) B Amin, N Ullah, S Ahmed, M Taqi, A Hanan 2017 International Symposium on Wireless Systems and Networks (ISWSN), 1-6, 2017 | 9 | 2017 |
An empirical study of reliability growth of open versus closed source software through software reliability growth models N Ullah, M Morisio 2012 19th Asia-Pacific Software Engineering Conference 1, 356-361, 2012 | 9 | 2012 |
A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19) SU Khan, I Ullah, N Ullah, S Shah, ME Affendi, B Lee Scientific Reports 13 (1), 6601, 2023 | 8 | 2023 |
Scaling agile adoption motivators from management perspective: an analytical hierarchy process approach RU Jan, M Usman, MF Abrar, N Ullah, M Asshad, S Ali Scientific Programming 2021 (1), 4522273, 2021 | 8 | 2021 |
Anycasting in dual sink approach (acids) for wbasns MR Baig, N Ullah, F Hadi, S Ahmed, A Hanan, I Ahmed International Journal of Advanced Computer Science and Applications 8 (3), 2017 | 8 | 2017 |
Impact of overall injustice on employee performance: moderating effect of supportive leadership style S Aslam, MB Khan, N Ullah European online journal of natural and social sciences 7 (3), pp. 573-587, 2018 | 7 | 2018 |
Freelancing as an alternative Market for software Professionals in Pakistan MF Abrar, Z ur Rehman, M Usman, N Ullah VFAST Transactions on Software Engineering 9 (3), 78-92, 2021 | 6 | 2021 |
A process model for Service-Oriented Development of Embedded Software Systems MR M Waqar Aziz, N. Ullah IEEE IT PROFESSIONAL, 2021 | 6* | 2021 |
MRI images enhancement using genetic programming based hybrid noise removal filter approach SU Khan, N Ullah, I Ahmed, WY Chai, A Khan Current Medical Imaging Reviews 14 (6), 867-873, 2018 | 6 | 2018 |