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Other IDs

Scopus Author ID: 57211321208

Countries

Yemen

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Employment (1)

University of Aden, Faculty of Oil and Minerals: Ataq, Shabwah , YE

2018-12-31 to present (Oil and Gas Engineering)
Employment
Source: Self-asserted source
Nawaf H. M. M. Shrifan

Education and qualifications (3)

Universiti Sains Malaysia, School of Electrical and Electronic Engineering: Nibong Tebal, Pinang, MY

2018-09-01 to present | PhD (Electrical and Electronic Engineering)
Education
Source: Self-asserted source
Nawaf H. M. M. Shrifan

Universiti Sains Malaysia, School of Computer Science: Gelugor, Pulau Pinang, MY

2015-02-15 to 2017-07-15 | Master (Informatics)
Qualification
Source: Self-asserted source
Nawaf H. M. M. Shrifan

University of Aden Faculty of Engineering: Aden, Aden, YE

2002-09-15 to 2006-07-15 | Bachelor (Computer Science and Engineering)
Qualification
Source: Self-asserted source
Nawaf H. M. M. Shrifan

Works (10)

A Magnetic Field Concentration Method for Magnetic Flux Leakage Detection of Rail-Top Surface Cracks

IEEE Access
2024 | Journal article
DOI: 10.1109/ACCESS.2024.3377692
Contributors: Wendong Gong; Muhammad Firdaus Akbar; Ghassan Nihad Jawad; Nawaf H. M. M. Shrifan; Fengqin Zhang
Source: check_circle
Crossref

The Prospect of Artificial Intelligence-Based Wood Surface Inspection: A Review

IEEE Access
2024 | Journal article
DOI: 10.1109/ACCESS.2024.3412928
Contributors: Liew Pei Yi; Muhammad Firdaus Akbar; Mohd Nadhir Ab Wahab; Bakhtiar Affendi Rosdi; Mohd Akashah Fauthan; Nawaf H. M. M. Shrifan
Source: check_circle
Crossref

Assessment of Delamination Under Insulation Using Ridge Waveguide

IEEE Access
2022 | Journal article
DOI: 10.1109/ACCESS.2022.3163308
Contributors: Muhammad Firdaus Akbar; Nawaf H. M. M. Shrifan; Ghassan N. Jawad; Nor Ashidi Mat Isa
Source: check_circle
Crossref

Prospect of Using Machine Learning-Based Microwave Nondestructive Testing Technique for Corrosion Under Insulation: A Review

IEEE Access
2022 | Journal article
DOI: 10.1109/ACCESS.2022.3197291
Contributors: Tan Shin Yee; Nawaf H. M. M. Shrifan; Ahmed Jamal Abdullah Al-Gburi; Nor Ashidi Mat Isa; Muhammad Firdaus Akbar
Source: check_circle
Crossref

Assessment of Defects under Insulation Using K-Medoids Clustering Algorithm-Based Microwave Nondestructive Testing

Coatings
2022-09 | Journal article | Author
DOI: 10.3390/coatings12101440
Contributors: Shin Yee Tan; Muhammad Firdaus Akbar Jalaludin Khan; Nawaf H. M. M. Shrifan; Ghassan Nihad Jawad; Mohd Nadhir Ab Wahab
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

An adaptive outlier removal aided k-means clustering algorithm

Journal of King Saud University - Computer and Information Sciences
2021 | Journal article
DOI: 10.1016/j.jksuci.2021.07.003
EID:

2-s2.0-85110728060

Part of ISSN: 22131248 13191578
Contributors: Shrifan, N.H.M.M.; Akbar, M.F.; Isa, N.A.M.
Source: Self-asserted source
Nawaf H. M. M. Shrifan via Scopus - Elsevier

Maximal overlap discrete wavelet-packet transform aided microwave nondestructive testing

NDT and E International
2021 | Journal article
DOI: 10.1016/j.ndteint.2021.102414
EID:

2-s2.0-85100235864

Part of ISSN: 09638695
Contributors: Shrifan, N.H.M.M.; Akbar, M.F.; Mat Isa, N.A.
Source: Self-asserted source
Nawaf H. M. M. Shrifan via Scopus - Elsevier

Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2020.3048147
Contributors: Nawaf H. M. M. Shrifan; Ghassan Nihad Jawad; Nor Ashidi Mat Isa; Muhammad Firdaus Akbar
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Microwave Nondestructive Testing for Defect Detection in Composites Based on K-Means Clustering Algorithm

IEEE ACCESS
2021-01-11 | Journal article
Source: Self-asserted source
Nawaf H. M. M. Shrifan

Prospect of Using Artificial Intelligence for Microwave Nondestructive Testing Technique: A Review

IEEE ACCESS
2019-07-28 | Journal article
DOI: 10.1109/ACCESS.2019.2934143
Source: Self-asserted source
Nawaf H. M. M. Shrifan
grade
Preferred source (of 2)‎
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