| Convolutional-neural network-based image crowd counting: Review, categorization, analysis, and performance evaluation N Ilyas, A Shahzad, K Kim Sensors 20 (1), 43, 2019 | 114 | 2019 |
| An efficient data-gathering routing protocol for underwater wireless sensor networks N Javaid, N Ilyas, A Ahmad, N Alrajeh, U Qasim, ZA Khan, T Liaqat, ... Sensors 15 (11), 29149-29181, 2015 | 80 | 2015 |
| AEDG: AUV-aided efficient data gathering routing protocol for underwater wireless sensor networks N Ilyas, TA Alghamdi, MN Farooq, B Mehboob, AH Sadiq, U Qasim, ... Procedia Computer Science 52, 568-575, 2015 | 74 | 2015 |
| SEDG: Scalable and efficient data gathering routing protocol for underwater WSNs N Ilyas, M Akbar, R Ullah, M Khalid, A Arif, A Hafeez, U Qasim, ZA Khan, ... Procedia Computer Science 52, 584-591, 2015 | 51 | 2015 |
| A transfer learning approach for multiclass classification of Alzheimer's disease using MRI images R Khan, S Akbar, A Mehmood, F Shahid, K Munir, N Ilyas, M Asif, Z Zheng Frontiers in Neuroscience 16, 1050777, 2023 | 35 | 2023 |
| Hybrid-danet: an encoder-decoder based hybrid weights alignment with multi-dilated attention network for automatic brain tumor segmentation N Ilyas, Y Song, A Raja, B Lee IEEE Access 10, 122658-122669, 2022 | 25 | 2022 |
| CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework A Khan, S Han, N Ilyas, YM Lee, B Lee Computer Methods and Programs in Biomedicine 240, 107718, 2023 | 19 | 2023 |
| Casa-crowd: A context-aware scale aggregation cnn-based crowd counting technique N Ilyas, A Ahmad, K Kim IEEE Access 7, 182050-182059, 2019 | 18 | 2019 |
| An effective modular approach for crowd counting in an image using convolutional neural networks N Ilyas, Z Ahmad, B Lee, K Kim Scientific reports 12 (1), 5795, 2022 | 14 | 2022 |
| AAEERP: Advanced AUV-aided energy efficient routing protocol for underwater WSNs N Ilyas, N Javaid, Z Iqbal, M Imran, ZA Khan, U Qasim, M Shoaib 2015 IEEE 29th International Conference on Advanced Information Networking …, 2015 | 14 | 2015 |
| HADF-crowd: A hierarchical attention-based dense feature extraction network for single-image crowd counting N Ilyas, B Lee, K Kim Sensors 21 (10), 3483, 2021 | 13 | 2021 |
| Amsaseg: An attention-based multi-scale atrous convolutional neural network for real-time object segmentation from 3d point cloud M Kim, N Ilyas, K Kim IEEE Access 9, 70789-70796, 2021 | 8 | 2021 |
| Extended lifetime based elliptical sink-mobility in depth based routing protocol for uwsns N Ilyas, N Javaid, Z Iqbal, M Imran, ZA Khan, U Qasim, M Shoaib 2015 IEEE 29th International Conference on Advanced Information Networking …, 2015 | 5 | 2015 |
| DFE-crowd: Dense feature extraction for single image crowd counting N Ilyas, AC Najarro, K Kim 한국통신학회 학술대회논문집, 457-458, 2020 | 3 | 2020 |
| Connected dominating set based optimized routing protocol for wireless sensor networks H Faheem, N Ilyas, S ul Muneer, S Tanvir International Journal of Advanced Computer Science and Applications 7 (11), 2016 | 2 | 2016 |
| Optimized energy efficient routing using dynamic clustering in wireless sensor networks MZ Siddiqi, N Ilyas, A Aziz, H Kiran, S Arif, J Tahir, U Qasim, ZA Khan, ... Complex, Intelligent, and Software Intensive Systems: Proceedings of the …, 2018 | 1 | 2018 |
| CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies N Ilyas, F Naseer, A Khan, A Raja, YM Lee, JH Park, B Lee Scientific Reports 14 (1), 25809, 2024 | | 2024 |
| A transfer learning approach for K Munir, N Ilyas, M Asif, Z Zheng Artificial intelligence-based computer-aided diagnosis applications for …, 2023 | | 2023 |
| Author Correction: An effective modular approach for crowd counting in an image using convolutional neural networks N Ilyas, Z Ahmad, B Lee, K Kim Scientific Reports 12 (1), 6818, 2022 | | 2022 |
| RSS-based Target Node Localization with a More Realistic Path Loss Model in WSN KK Andres Caceres, Ilyas Naveed KIEES, 2020 | | 2020 |
Nadeem Javaid, IEEE/ACM Senior Me...ComSens Lab, International Graduate School of AI, National Yunlin University, TaiwanEmail yang diverifikasi di yuntech.edu.tw