| Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms N Ullah, Z Ahmad, JM Kim Sensors 23 (2023), 19, 2023 | 119 | 2023 |
| A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning S Ahmad, Z Ahmad, CH Kim, JM Kim Sensors 22 (2022), 15, 2022 | 91 | 2022 |
| Pipeline leak diagnosis based on leak-augmented scalograms and deep learning MF Siddique, Z Ahmad, JM Kim Engineering Applications of Computational Fluid Mechanics 17 (1), 17, 2023 | 87 | 2023 |
| A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection MF Siddique, Z Ahmad, N Ullah, JM Kim Sensors 23 (2023), 21, 2023 | 81 | 2023 |
| A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning MJ Hasan, A Rai, Z Ahmad, JM Kim IEEE Access 9 (2021), 15, 2021 | 76 | 2021 |
| Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network Z Ahmad, TK Nguyen, JM Kim Engineering Applications of Computational Fluid Mechanics 17 (2023), 17, 2023 | 67 | 2023 |
| Industrial fluid pipeline leak detection and localization based on a multiscale Mann-Whitney test and acoustic emission event tracking Z Ahmad, TK Nguyen, A Rai, JM Kim Mechanical Systems and Signal Processing 189 (2023), 15, 2022 | 55 | 2022 |
| Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection AS Maliuk, AE Prosvirin, Z Ahmad, CH Kim, JM Kim Sensors 21 (19), 27, 2021 | 50 | 2021 |
| Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis Z Ahmad, A Rai, AS Maliuk, JM Kim IEEE Access 8 (2020), 165512, 2020 | 49 | 2020 |
| Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults AE Prosvirin, Z Ahmad, J Kim, JM Kim IEEE Access 9 (2021), 2169-3536, 2021 | 44 | 2021 |
| Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis Z Ahmad, TK Nguyen, S Ahmad, CD Nguyen, JM Kim Sensors 22 (179), 15, 2021 | 43 | 2021 |
| Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN W Zaman, Z Ahmad, MF Siddique, N Ullah, JM Kim Sensors 23 (2023), 18, 2023 | 38 | 2023 |
| LSTM-Based Condition Monitoring and Fault Prognostics of Rolling Element Bearings Using Raw Vibrational Data YS Afridi, L Hasan, R Ullah, Z Ahmad, JM Kim Sensors 21 (2023), 15, 2023 | 37 | 2023 |
| Efficient Energy Flight Path Planning Algorithm Using 3‐D Visibility Roadmap for Small Unmanned Aerial Vehicle Z Ahmad, F Ullah, C Tran, S Lee International Journal of Aerospace Engineering 2017 (1), 2849745, 2017 | 36 | 2017 |
| A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov–Smirnov Test A Rai, Z Ahmad, MJ Hasan, JM Kim Sensors 21 (2021), 2021 | 32 | 2021 |
| Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis Z Ahmad, AE Prosvirin, J Kim, JM Kim IEEE Access 8 (2020), 11, 2020 | 31 | 2020 |
| Pipeline Leak Detection System for a Smart City: Leveraging Acoustic Emission Sensing and Sequential Deep Learning N Ullah, MF Siddique, S Ullah, Z Ahmad, JM Kim Smart Cities 7 (2024), 21, 2024 | 30 | 2024 |
| Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework MF Siddique, Z Ahmad, N Ullah, S Ullah, JM Kim Sensors 24 (2024), 19, 2024 | 30 | 2024 |
| An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning N Ullah, Z Ahmad, MF Siddique, K Im, DK Shon, TH Yoon, DS Yoo, ... Sensors 23 (2023), 22, 2023 | 27 | 2023 |
| A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning S Ahmad, Z Ahmad, JM Kim Sensors 22 (2022), 15, 2022 | 27 | 2022 |
Tuan-Khai NguyenUniversity of UlsanVerified email at mail.ulsan.ac.kr
