| Pipeline leakage detection using acoustic emission and machine learning algorithms N Ullah, Z Ahmed, JM Kim Sensors 23 (6), 3226, 2023 | 27 | 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, J Kim Sensors 23 (19), 8079, 2023 | 19 | 2023 |
| Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN W Zaman, Z Ahmad, MF Siddique, N Ullah, JM Kim Sensors 23 (11), 5255, 2023 | 14 | 2023 |
| 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 (21), 8850, 2023 | 8 | 2023 |
| 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 (12), 4009, 2024 | | 2024 |
| Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning MF Siddique, N Ullah, JM Kim 2023 IEEE International Conference on High Performance Computing …, 2023 | | 2023 |
| A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis N Ullah, MF Siddique, JM Kim 2023 IEEE International Conference on High Performance Computing …, 2023 | | 2023 |
| Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN Z Ahmad, MF Siddique, N Ullah, J Kim, JM Kim International Conference on Intelligent Human Computer Interaction, 162-170, 2023 | | 2023 |
| A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN JKJMK Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023 …, 2023 | | 2023 |
Muhammad Farooq SiddiqueGraduate Research Assistant, University of Ulsan在 mail.ulsan.ac.kr 的电子邮件经过验证
