Search Results - "Azad, Muhammad Muzammil"

Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review.

Authors: Azad, Muhammad Muzammil Cheon, Yubin Raouf, Izaz et al.

Source: Archives of Computational Methods in Engineering; Jan2025, Vol. 32 Issue 1, p441-469, 29p

Recent Advancements in Guided Ultrasonic Waves for Structural Health Monitoring of Composite Structures.

Authors: Tanveer, Mohad Elahi, Muhammad Umar Jung, Jaehyun et al.

Source: Applied Sciences (2076-3417); Dec2024, Vol. 14 Issue 23, p11091, 22p

Damage Localization and Severity Assessment in Composite Structures Using Deep Learning Based on Lamb Waves.

Authors: Azad, Muhammad Muzammil Munyaneza, Olivier Jung, Jaehyun et al.

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 24, p8057. 15p.

Delamination Detection Framework for the Imbalanced Dataset in Laminated Composite Using Wasserstein Generative Adversarial Network-Based Data Augmentation.

Authors: Kim, Sungjun Azad, Muhammad Muzammil Song, Jinwoo et al.

Source: Applied Sciences (2076-3417); Nov2023, Vol. 13 Issue 21, p11837, 17p

Generative Design for Engineering Applications: A State-of-the-Art Review.

Authors: Tanveer, Mohad Azad, Muhammad Muzammil Kim, Dohoon et al.

Source: Archives of Computational Methods in Engineering; Jan2026, Vol. 33 Issue 1, p53-79, 27p

Multi-Feature Extraction and Explainable Machine Learning for Lamb-Wave-Based Damage Localization in Laminated Composites.

Authors: Jung, Jaehyun Azad, Muhammad Muzammil Kim, Heung Soo

Source: Mathematics (2227-7390). Mar2025, Vol. 13 Issue 5, p769. 23p.

An explainable artificial intelligence‐based approach for reliable damage detection in polymer composite structures using deep learning.

Authors: Azad, Muhammad Muzammil Kim, Heung Soo

Source: Polymer Composites. 2/10/2025, Vol. 46 Issue 2, p1536-1551. 16p.

A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates.

Authors: Yazdani, Muhammad Haris Azad, Muhammad Muzammil Khalid, Salman et al.

Source: Sensors (14248220). Feb2025, Vol. 25 Issue 3, p826. 15p.

A Generalized Autonomous Power Plant Fault Detection Model Using Deep Feature Extraction and Ensemble Machine Learning.

Authors: Khalid, Salman Azad, Muhammad Muzammil Kim, Heung Soo

Source: Mathematics (2227-7390). Feb2025, Vol. 13 Issue 3, p342. 19p.

Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning.

Authors: Khalid, Salman Azad, Muhammad Muzammil Kim, Heung Soo

Source: Mathematics (2227-7390). Dec2024, Vol. 12 Issue 24, p3887. 16p.

Deep Learning-Based Microscopic Damage Assessment of Fiber-Reinforced Polymer Composites.

Authors: Azad, Muhammad Muzammil Shah, Atta ur Rehman Prabhakar, M. N. et al.

Source: Materials (1996-1944). Nov2024, Vol. 17 Issue 21, p5265. 16p.

Synergistic effect of aluminum trihydrate and zirconium hydroxide nanoparticles on mechanical properties, flammability, and thermal degradation of polyester/jute fiber composite.

Authors: Ejaz, Mohsin Azad, Muhammad Muzammil Shah, Atta ur Rehman et al.

Source: Cellulose. Feb2022, Vol. 29 Issue 3, p1775-1790. 16p.

Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review.

Authors: Azad, Muhammad Muzammil Kim, Sungjun Cheon, Yu Bin et al.

Source: Advanced Composite Materials. Apr2024, Vol. 33 Issue 2, p162-188. 27p.

Parallel kernel deep learning model for damage quantification in laminated composites.

Authors: Yazdani, Muhammad Haris Azad, Muhammad Muzammil Kim, Heung Soo

Source: Advances in Engineering Software (1992); Jul2026, Vol. 218, pN.PAG-N.PAG, 1p

Circular valorization of agricultural, industrial, and post-consumer waste into fiber-reinforced composites for environmental sustainability.

Authors: Shahid, Muhammad Usman Shahid, Muhammad Noman Ahmad, Zulfiqar et al.

Source: Environmental Research; Jun2026, Vol. 299, pN.PAG-N.PAG, 1p

Transformer with multi-head attention mechanism for bearing fault detection.

Authors: Kumar, Prashant Raouf, Izaz Azad, Muhammad Muzammil et al.

Source: Applied Soft Computing; May2026, Vol. 194, pN.PAG-N.PAG, 1p

Noise-robust damage quantification in laminated composite structures using hybrid transformer and convolutional neural network.

Authors: Yazdani, Muhammad Haris Azad, Muhammad Muzammil Kim, Heung Soo

Source: Advanced Engineering Informatics; Sep2026:Part C, Vol. 74, pN.PAG-N.PAG, 1p

Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade.

Authors: Azad, Muhammad Muzammil Kim, Dohoon Khalid, Salman et al.

Source: Mathematics (2227-7390). Jun2022, Vol. 10 Issue 11, p1863-1863. 19p.

Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review.

Authors: Khalid, Salman Yazdani, Muhammad Haris Azad, Muhammad Muzammil et al.

Source: Mathematics (2227-7390). Jan2025, Vol. 13 Issue 1, p17. 35p.

Physics-guided graph convolutional network for damage severity and zone identification in industrial composites.

Authors: Azad, Muhammad Muzammil Jung, Jaehyun Kim, Heung Soo et al.

Source: Advanced Engineering Informatics; Nov2025:Part B, Vol. 68, pN.PAG-N.PAG, 1p