Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Saadullah Farooq Abbasi"'
Publikováno v:
IEEE Access, Vol 12, Pp 85929-85939 (2024)
Brain tumors pose a significant threat, especially when not detected early. The Inception v3 machine learning model has found extensive applications in computer vision and related fields. This study aims to develop a robust transfer learning model fo
Externí odkaz:
https://doaj.org/article/4f1eb6d3136a4a498138754cf892ef4c
Autor:
Mohammed S. Alshehri, Oumaima Saidani, Fatma S. Alrayes, Saadullah Farooq Abbasi, Jawad Ahmad
Publikováno v:
IEEE Access, Vol 12, Pp 45762-45772 (2024)
The Industrial Internet of Things (IIoT) comprises a variety of systems, smart devices, and an extensive range of communication protocols. Hence, these systems face susceptibility to privacy and security challenges, making them prime targets for mali
Externí odkaz:
https://doaj.org/article/2158b8a2506c437f8da91f0090e4944e
Autor:
Hafza Ayesha Siddiqa, Zhenning Tang, Yan Xu, Laishuan Wang, Muhammad Irfan, Saadullah Farooq Abbasi, Anum Nawaz, Chen Chen, Wei Chen
Publikováno v:
IEEE Access, Vol 12, Pp 29910-29925 (2024)
Neonatal sleep staging is crucial for understanding infant brain development and assessing neurological health. This study explores the optimal electrode configuration to reduce technical complexities and potential risks of causing skin irritation to
Externí odkaz:
https://doaj.org/article/f358df5bde1f4fe3912c7cb5bdf6f8cb
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 17018-17036 (2023)
Sleep plays an important role in neonatal brain and physical development, making its detection and characterization important for assessing early-stage development. In this study, we propose an automatic and computationally efficient algorithm to det
Externí odkaz:
https://doaj.org/article/50876898aa1f483ca6af8fb1650fcde4
Autor:
Saadullah Farooq Abbasi, Awais Abbas, Iftikhar Ahmad, Mohammed S. Alshehri, Sultan Almakdi, Yazeed Yasin Ghadi, Jawad Ahmad
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e22195- (2023)
Sleep is an essential feature of living beings. For neonates, it is vital for their mental and physical development. Sleep stage cycling is an important parameter to assess neonatal brain and physical development. Therefore, it is crucial to administ
Externí odkaz:
https://doaj.org/article/a21a0a891c6e40e7b5e5efb1dfff692f
Autor:
Muhammad Awais, Xi Long, Bin Yin, Chen Chen, Saeed Akbarzadeh, Saadullah Farooq Abbasi, Muhammad Irfan, Chunmei Lu, Xinhua Wang, Laishuan Wang, Wei Chen
Publikováno v:
BMC Research Notes, Vol 13, Iss 1, Pp 1-6 (2020)
Abstract Objective In this paper, we propose to evaluate the use of pre-trained convolutional neural networks (CNNs) as a features extractor followed by the Principal Component Analysis (PCA) to find the best discriminant features to perform classifi
Externí odkaz:
https://doaj.org/article/eeee3ce35d7749d19744dd4dc217463c
Autor:
Muhammad Awais, Chen Chen, Xi Long, Bin Yin, Anum Nawaz, Saadullah Farooq Abbasi, Saeed Akbarzadeh, Linkai Tao, Chunmei Lu, Laishuan Wang, Ronald M. Aarts, Wei Chen
Publikováno v:
IEEE Access, Vol 8, Pp 59100-59113 (2020)
In recent times, with the advancement of digital imaging, automatic facial recognition has been intensively studied for adults, while less for neonates. Due to the miniature facial structure and facial attributes, newborn facial recognition remains a
Externí odkaz:
https://doaj.org/article/a0125883478045b8b032c87face48578
Autor:
Saadullah Farooq Abbasi, Jawad Ahmad, Ahsen Tahir, Muhammad Awais, Chen Chen, Muhammad Irfan, Hafiza Ayesha Siddiqa, Abu Bakar Waqas, Xi Long, Bin Yin, Saeed Akbarzadeh, Chunmei Lu, Laishuan Wang, Wei Chen
Publikováno v:
IEEE Access, Vol 8, Pp 183025-183034 (2020)
Objective: Classification of sleep-wake states using multichannel electroencephalography (EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP) neural network is developed to classify sleep-wake states using multichan
Externí odkaz:
https://doaj.org/article/d91922f5ffec4c74b4f2f6b88e9a2cd4
Autor:
Sanam Aamir, Aqsa Rahim, Zain Aamir, Saadullah Farooq Abbasi, Muhammad Shahbaz Khan, Majed Alhaisoni, Muhammad Attique Khan, Khyber Khan, Jawad Ahmad
Publikováno v:
Computational and Mathematical Methods in Medicine. 2022:1-13
Breast cancer is one of the leading causes of increasing deaths in women worldwide. The complex nature (microcalcification and masses) of breast cancer cells makes it quite difficult for radiologists to diagnose it properly. Subsequently, various com
Autor:
Saeed Akbarzadeh, Tianchan Lyu, Roozbeh Farhoodi, Muhammad Awais, Saadullah Farooq Abbasi, Xian Zhao, Chen Chen, Amara Amara, Yasemin Akay, Metin Akay, Wei Chen
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:2370-2378
Due to the lack of enough physical or suck central pattern generator (SCPG) development, premature infants require assistance in improving their sucking skills as one of the first coordinated muscular activities in infants. Hence, we need to quantita