Muhammad Farooq Siddique

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Top Venues

HPCC/DSS/SmartCity/DependSys

Publications

Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Saif Ullah, Jong-Myon Kim
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework. Sensors 24 (12) (2024)
Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim
Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning. HPCC/DSS/SmartCity/DependSys (2023)
Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. ACPR (2) (2023)
Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Jongmyon Kim
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection. Sensors 23 (19) (2023)
Niamat Ullah, Muhammad Farooq Siddique, Jong-Myon Kim
A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis. HPCC/DSS/SmartCity/DependSys (2023)
Wasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN. Sensors 23 (11) (2023)
Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. IHCI (2) (2023)
Niamat Ullah, Zahoor Ahmad, Muhammad Farooq Siddique, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. Sensors 23 (21) (2023)