| A secure and robust hash-based scheme for image authentication F Ahmed, MY Siyal, VU Abbas Signal Processing 90 (5), 1456-1470, 2010 | 239 | 2010 |
| Efficiency analysis and security evaluation of image encryption schemes J Ahmad, F Ahmed computing 23 (4), 25, 2010 | 230 | 2010 |
| Gastrointestinal diseases segmentation and classification based on duo-deep architectures MA Khan, MA Khan, F Ahmed, M Mittal, LM Goyal, DJ Hemanth, ... Pattern Recognition Letters 131, 193-204, 2020 | 172 | 2020 |
| Chaotic substitution for highly autocorrelated data in encryption algorithm A Anees, AM Siddiqui, F Ahmed Communications in Nonlinear Science and Numerical Simulation 19 (9), 3106-3118, 2014 | 159 | 2014 |
| A novel CNN-LSTM-based approach to predict urban expansion W Boulila, H Ghandorh, MA Khan, F Ahmed, J Ahmad Ecological Informatics 64, 101325, 2021 | 139 | 2021 |
| Recognizing apple leaf diseases using a novel parallel real‐time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture ZU Rehman, MA Khan, F Ahmed, R Damaševičius, SR Naqvi, W Nisar, ... IET Image Processing 15 (10), 2157-2168, 2021 | 128 | 2021 |
| Chest X-ray classification for the detection of COVID-19 using deep learning techniques E Khan, MZU Rehman, F Ahmed, FA Alfouzan, NM Alzahrani, J Ahmad Sensors 22 (3), 1211, 2022 | 110 | 2022 |
| Intrusion detection framework for the internet of things using a dense random neural network S Latif, Z e Huma, SS Jamal, F Ahmed, J Ahmad, A Zahid, K Dashtipour, ... IEEE Transactions on Industrial Informatics 18 (9), 6435-6444, 2021 | 91 | 2021 |
| A noisy channel tolerant image encryption scheme F Ahmed, A Anees, VU Abbas, MY Siyal Wireless personal communications 77, 2771-2791, 2014 | 90 | 2014 |
| Enhancing IoT network security through deep learning-powered Intrusion Detection System SA Bakhsh, MA Khan, F Ahmed, MS Alshehri, H Ali, J Ahmad Internet of Things 24, 100936, 2023 | 84 | 2023 |
| A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation J Ahmad, MA Khan, F Ahmed, JS Khan Neural Computing and Applications 30, 3847-3857, 2018 | 83 | 2018 |
| Semantic segmentation and edge detection—Approach to road detection in very high resolution satellite images H Ghandorh, W Boulila, S Masood, A Koubaa, F Ahmed, J Ahmad Remote Sensing 14 (3), 613, 2022 | 71 | 2022 |
| Classification of citrus plant diseases using deep transfer learning MZU Rehman, F Ahmed, MA Khan, U Tariq, SS Jamal, J Ahmad, ... Tech Science Press, 2021 | 70 | 2021 |
| Image encryption using dynamic S-box substitution in the wavelet domain A Shafique, F Ahmed Wireless Personal Communications 115 (3), 2243-2268, 2020 | 68 | 2020 |
| Detection of COVID-19 using transfer learning and Grad-CAM visualization on indigenously collected X-ray dataset M Umair, MS Khan, F Ahmed, F Baothman, F Alqahtani, M Alian, J Ahmad Sensors 21 (17), 5813, 2021 | 63 | 2021 |
| Dynamic hand gesture recognition using 3D-CNN and LSTM networks M Ur Rehman, F Ahmed, M Attique Khan, U Tariq, F Abdulaziz Alfouzan, ... Computers, Materials & Continua 70 (3), 2021 | 55 | 2021 |
| DRaNN_PSO: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things J Ahmad, SA Shah, S Latif, F Ahmed, Z Zou, N Pitropakis Journal of King Saud University-Computer and Information Sciences 34 (10 …, 2022 | 48 | 2022 |
| Classification of skin cancer lesions using explainable deep learning M Zia Ur Rehman, F Ahmed, SA Alsuhibany, SS Jamal, M Zulfiqar Ali, ... Sensors 22 (18), 6915, 2022 | 48 | 2022 |
| Privacy-preserving non-wearable occupancy monitoring system exploiting Wi-Fi imaging for next-generation body centric communication S Aziz Shah, J Ahmad, A Tahir, F Ahmed, G Russell, SY Shah, ... Micromachines 11 (4), 379, 2020 | 40 | 2020 |
| A perceptually scalable and jpeg compression tolerant image encryption scheme F Ahmed, MY Siyal, VU Abbas 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 232-238, 2010 | 37 | 2010 |
Jawad AhmadPrince Mohammad Bin Fahd UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα pmu.edu.sa