Muhammad Farooq Siddique

According to our database, Muhammad Farooq Siddique authored at least 7 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning.

Niamat Ullah, Zahoor Ahmad, Muhammad Farooq Siddique, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim

Sensors, October, 2023

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection.

Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Jongmyon Kim

Sensors, October, 2023

Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN.

Wasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

Sensors, 2023

Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN.

Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim

Proceedings of the Intelligent Human Computer Interaction - 15th International Conference, 2023

A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis.

Niamat Ullah, Muhammad Farooq Siddique, Jong-Myon Kim

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning.

Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN.

Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023