封面圖片

Defect severity classification of complex composites using CWT and CNN

Composite structures are prone to internal defects such as delamination. Due to this, it is vital to recognize internal flaws in composite materials accurately because there is possibility that these internal defects can severely degrade the composite structure’s strength. This work aims to develop...

Saved in:

書目詳細資料
Main Authors:	Wilson, Lim, Mohd Khairuddin, Anis Salwa, Khairuddin, Uswah, Murat, Bibi Intan Suraya
格式:	Article
出版:	Springer Science 2022
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://eprints.um.edu.my/43264/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126384070&doi=10.1007%2f978-981-16-8484-5_14&partnerID=40&md5=fee6e4800325d12237fd9c2a6319746b
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Defect severity classification of complex composites using CWT and CNN
由: Lim, Wilson, et al.
出版: (2022)

Defect severity classification of complex composites using CWT and CNN
由: Lim, Wilson, et al.
出版: (2022)

An OFDM System Based on Dual Tree Complex Wavelet Transform (DT-CWT)
由: Jeoti , Varun
出版: (2009)

An OFDM System Based on Dual Tree Complex Wavelet Transform (DT-CWT)
由: Nerma, Mohamed H. M., et al.
出版: (2009)

The classification of EEG-based wink signals: A CWT-Transfer Learning pipeline
由: Jothi Letchumy, Mahendra Kumar, et al.
出版: (2021)

Performance Analysis of a Novel OFDM System Based on Dual – Tree Complex Wavelet Transform (DT-CWT)
由: Nerma, Mohamed H. M., et al.
出版: (2009)

Performance Analysis of a Novel OFDM System Based on Dual – Tree Complex Wavelet Transform (DT-CWT)
由: Kamel , Nidal
出版: (2009)

Texture image classification using improved image enhancement and adaptive SVM
由: Abdul Hamid, Lydia, et al.
出版: (2022)

Texture image classification using improved image enhancement and adaptive SVM
由: Hamid, Lydia Binti Abdul, et al.
出版: (2022)

Lightweight CNN model: Automated vehicle detection in aerial images
由: Momin, Md Abdul, et al.
出版: (2023)

Development of consumers management system via face classification
由: Khairuddin, Uswah, et al.
出版: (2020)

Investigation of using dual tree complex wavelet transform (DT-CWT) to improve the performance of OFDM system
出版: (2012)

Vehicles trajectories analysis using Piecewise-Segment Dynamic Time Warping (PSDTW)
由: Mahmood, Muhammad Syarafi, et al.
出版: (2021)

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline
由: Islam, Md Nahidul, et al.
出版: (2021)

YOLO-based network fusion for riverine floating debris monitoring system
由: Zailan, Nur Athirah, et al.
出版: (2021)

Systematic review on vehicular licence plate recognition framework in intelligent transport systems
由: Arafat, Md. Yeasir, et al.
出版: (2019)

Classification of capsicum leaf disease from a complex cluster of leaves using an improved multiple layers ShuffleNet CNN model
由: Chyntia Jaby, Entuni, et al.
出版: (2023)

Enhancing EEG signals classification using LSTM-CNN architecture
由: Omari, Swaleh Maulid, et al.
出版: (2023)

Enhancing EEG signals classification using LSTM-CNN architecture
由: Omari, Swaleh Maulid, et al.
出版: (2023)

Fault classification of cooling fans using a CNN-based approach
由: Sharrar, Labib, et al.
出版: (2022)

Fault classification of cooling fans using a CNN-based approach
由: Sharrar, Labib, et al.
出版: (2022)

A hybrid scheme for AEP based hearing deficiency diagnosis: CWT and convoluted k-nearest neighbour (CKNN) pipeline
由: Islam, Md Nahidul, et al.
出版: (2022)

The Performance of Accident Severity Multiclass Classification
由: Sudesh Nair, Baskara, et al.
出版: (2022)

Malaria parasite detection and classification using CNN and YOLOv5 architectures
由: Wan Mohd Razin, Wan Rasyidah, et al.
出版: (2022)

Integration of MFCCS and CNN for multi-class stress speech classification onunscripted dataset
由: Zainal, Nur Aishah, et al.
出版: (2024)

The performance of accident severity multiclass classification
由: Yaacob, Haryati, et al.
出版: (2022)

An automatic garbage detection using optimized YOLO model
由: Zailan, Nur Athirah, et al.
出版: (2024)

Malaria parasite detection and classification using CNN and YOLOv5 architectures
由: Wan Mohd. Razin, Wan Rasyidah, et al.
出版: (2022)

The formulation of a transfer learning pipeline for the classification of the wafer defects
由: Lim, Shi Xuen
出版: (2023)

An automatic garbage detection using optimized YOLO model
由: Zailan, Nur Athirah, et al.
出版: (2024)

Brain tumor MRI medical images classification model based on CNN (BTMIC-CNN)
由: Al-Galal, Sabaa Ahmed Yahya, et al.
出版: (2022)

Integration of MFCCS and CNN for multi-class stress speech classification on unscripted dataset
由: Zainal, Nur Aishah, et al.
出版: (2024)

Neural network paradigm for classification of defects on PCB
由: Heriansyah, Rudi, et al.
出版: (2003)

Die defect classification using image processing
由: Maniam, Darmadevaindra
出版: (2015)

Vehicles trajectories analysis using piecewise-segment dynamic time warping (PSDTW)
由: Mahmood, Muhammad Syarafi, et al.
出版: (2021)

Development of Machine Vision System for Riverine Debris Counting
由: Abd. Latif, Salehuddin, et al.
出版: (2022)

Evaluation of the Transfer Learning Models in Wafer Defects Classification
由: Jessnor Arif, Mat Jizat, et al.
出版: (2022)

Plant disease severity classification using deep learning
由: Lee, San Kong
出版: (2020)

Enhancing stress speech classification through the fusion of emotional datasets utilizing MFCCs with CNN
由: Zainal, Nur Aishah, et al.
出版: (2024)

Review of Wheat Disease Classification and Severity Detection Models
由: Hongyan, Zang, et al.
出版: (2023)