Muhammad Farooq Siddique
Orcid: 0009-0005-5807-7056
According to our database1,
Muhammad Farooq Siddique authored at least 12 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
IEEE Access, 2026
2025
A Deep Learning Approach for Fault Diagnosis in Centrifugal Pumps through Wavelet Coherent Analysis and S-Transform Scalograms with CNN-KAN.
Comput. Mater. Continua, 2025
Advanced Fault Diagnosis in Milling Machines Using Acoustic Emission and Transfer Learning.
IEEE Access, 2025
2024
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework.
Sensors, June, 2024
Pipeline Leak Detection: Leveraging Acoustic Emission Signal Processing and Machine Learning.
Proceedings of the Intelligent Human Computer Interaction - 16th International Conference, 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
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