Muhammad Farooq Siddique

Orcid: 0009-0005-5807-7056

According to our database1, Muhammad Farooq Siddique authored at least 8 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.
Sensors, June, 2024

2023
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning.
Sensors, October, 2023

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection.
Sensors, October, 2023

Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN.
Sensors, 2023

Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN.
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.
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.
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.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023


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