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Muhammad Farooq Siddique

Showing results (1-10 of 13) with videos related to

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Scientific Reports|December 16, 2025
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressuresSaif Ullah, Muhammad Farooq Siddique, Jong-Myon Kim
Sensors (Basel, Switzerland)|October 14, 2023
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak DetectionMuhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, et al.
Scientific Reports|November 27, 2025
Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantificationMuhammad Farooq Siddique, Muhammad Umar, Wasim Ahmad, et al.
Scientific Reports|June 8, 2026
A distribution-level statistical framework for reliable pipeline leak detection using multi-domain signal analysisMuhammad Umar, Muhammad Farooq Siddique, Jaeyoung Kim, et al.
Sensors (Basel, Switzerland)|June 10, 2023
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNNWasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, et al.
Sensors (Basel, Switzerland)|February 26, 2025
Acoustic Emission-Based Pipeline Leak Detection and Size Identification Using a Customized One-Dimensional DenseNetFaisal Saleem, Zahoor Ahmad, Muhammad Farooq Siddique, et al.
Sensors (Basel, Switzerland)|June 27, 2024
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM FrameworkMuhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, et al.
Sensors (Basel, Switzerland)|September 27, 2025
A Hybrid Deep Learning Framework for Fault Diagnosis in Milling MachinesMuhammad Farooq Siddique, Wasim Zaman, Muhammad Umar, et al.
Sensors (Basel, Switzerland)|May 14, 2025
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature ExtractionMuhammad Farooq Siddique, Faisal Saleem, Muhammad Umar, et al.
Bioengineering (Basel, Switzerland)|June 26, 2026
Calibrated Deep-Learning Risk Indexing and Latent Behavioural Profiling for Occupational Mental-Health Risk AssessmentAbuzar Khan, Khalid Rehman, Ahmad Junaid, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Scientific Reports|December 16, 2025
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressuresSaif Ullah, Muhammad Farooq Siddique, Jong-Myon Kim
Sensors (Basel, Switzerland)|October 14, 2023
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak DetectionMuhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, et al.
Scientific Reports|November 27, 2025
Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantificationMuhammad Farooq Siddique, Muhammad Umar, Wasim Ahmad, et al.
Scientific Reports|June 8, 2026
A distribution-level statistical framework for reliable pipeline leak detection using multi-domain signal analysisMuhammad Umar, Muhammad Farooq Siddique, Jaeyoung Kim, et al.
Sensors (Basel, Switzerland)|June 10, 2023
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNNWasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, et al.
Sensors (Basel, Switzerland)|February 26, 2025
Acoustic Emission-Based Pipeline Leak Detection and Size Identification Using a Customized One-Dimensional DenseNetFaisal Saleem, Zahoor Ahmad, Muhammad Farooq Siddique, et al.
Sensors (Basel, Switzerland)|June 27, 2024
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM FrameworkMuhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, et al.
Sensors (Basel, Switzerland)|September 27, 2025
A Hybrid Deep Learning Framework for Fault Diagnosis in Milling MachinesMuhammad Farooq Siddique, Wasim Zaman, Muhammad Umar, et al.
Sensors (Basel, Switzerland)|May 14, 2025
A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature ExtractionMuhammad Farooq Siddique, Faisal Saleem, Muhammad Umar, et al.
Bioengineering (Basel, Switzerland)|June 26, 2026
Calibrated Deep-Learning Risk Indexing and Latent Behavioural Profiling for Occupational Mental-Health Risk AssessmentAbuzar Khan, Khalid Rehman, Ahmad Junaid, et al.
Pageof 2