Zobrazeno 1 - 10
of 140
pro vyhledávání: '"M. Iqbal Saripan"'
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
This study investigated the influence of multiliteracy in opaque orthographies on phonological awareness. Using a visual rhyme judgement task in English, we assessed phonological processing in three multilingual and multiliterate populations who were
Externí odkaz:
https://doaj.org/article/2abb360fc5804fe3bf0b2773fd2760a7
Autor:
Sham FIrdaus Md Ali, M. Iqbal Saripan, Ahmad Shukri Muhammad Noor, Fakhrul Zaman Rokhani, Suhairul Hashim, Dong Xianling
Publikováno v:
Journal of Biomedical Physics and Engineering, Vol 12, Iss 2, Pp 117-126 (2022)
Background: Recent research on photon detection has led to the introduction of a silicone photomultiplier (SiPM) that operates at a low voltage and is insensitive to magnetic fields. Objective: This work aims to model a scintillation camera with a Si
Externí odkaz:
https://doaj.org/article/3001d89e9ed24284bb4bc956f59a5bf9
Autor:
Dong Wen, Rou Li, Hao Tang, Yijun Liu, Xianglong Wan, Xianling Dong, M. Iqbal Saripan, Xifa Lan, Haiqing Song, Yanhong Zhou
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 1041-1051 (2022)
In this study, a multi-scale high-density convolutional neural network (MHCNN) classification method for spatial cognitive ability assessment was proposed, aiming at achieving the binary classification of task-state EEG signals before and after spati
Externí odkaz:
https://doaj.org/article/24c949c4a0244d3984fc4683bd06d135
Autor:
Xianling Dong, Shiqi Xu, Yanli Liu, Aihui Wang, M. Iqbal Saripan, Li Li, Xiaolei Zhang, Lijun Lu
Publikováno v:
Cancer Imaging, Vol 20, Iss 1, Pp 1-13 (2020)
Abstract Background Convolutional neural networks (CNNs) have been extensively applied to two-dimensional (2D) medical image segmentation, yielding excellent performance. However, their application to three-dimensional (3D) nodule segmentation remain
Externí odkaz:
https://doaj.org/article/de3508964d314ac6bb9d845f06967278
Autor:
Sadiq H. Abdulhussain, Syed Abdul Rahman Al-Haddad, M. Iqbal Saripan, Basheera M. Mahmmod, Aseel Hussien
Publikováno v:
IEEE Access, Vol 8, Pp 72347-72359 (2020)
With the increasing growth of multimedia data, the current real-world video sharing websites are being huge in repository size, more specifically video databases. This growth necessitates to look for superior techniques in processing video because vi
Externí odkaz:
https://doaj.org/article/269a7ba351424681971a35eff4c6900f
Autor:
Dong Wen, Jian Xu, Zhonglin Wu, Yijun Liu, Yanhong Zhou, Jingjing Li, Shaochang Wang, Xianlin Dong, M. Iqbal Saripan, Haiqing Song
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/537b4fab20cd4f718e726ce42ca4f166
Autor:
Dong Wen, Wang Yao, Jian Xu, Shaochang Wang, Yingzhu Zhong, Hongqian Chen, Xianling Dong, M. Iqbal Saripan, Yanhong Zhou
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Externí odkaz:
https://doaj.org/article/4ffb91d1519246eda066a8b50fa989ec
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 9 (2013)
Data replication is a known redundancy used in fault-tolerant distributed system. However, it has the problem of mutual exclusion of replicated data. Mutual exclusion becomes difficult when a distributed system is partitioned into two or more isolate
Externí odkaz:
https://doaj.org/article/a861103a7a27482a81a322949d61f481
Autor:
Khairul Azha A Aziz, M Iqbal Saripan, Fathinul Fikri Ahmad Saad, Raja Syamsul Azmir Raja Abdullah
Publikováno v:
Malaysian Journal of Medicine and Health Sciences. :31-35
Introduction: In this study, the performance of computed tomography lung image segmentation using image processing and Markov Random Field was investigated. Before cancer segmentation and analysis, lung segmentation is an important initial process. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f9a7676e420ed2e31a693047c47f29
https://doi.org/10.47836/mjmhs.18.s6.6
https://doi.org/10.47836/mjmhs.18.s6.6
Autor:
Shuyan Li, Jinghua Liu, Zhongxiao Wang, Zhendong Cao, Yifan Yang, Bingzhen Wang, Shiqi Xu, Lijun Lu, M. Iqbal Saripan, Xiaolei Zhang, Xianling Dong, Dong Wen
Publikováno v:
Radiology Science. 1
Background: Radiomics and deep learning have been widely investigated in the quantitative analysis of medical images. Deep learning radiomics (DLR), combining the strengths of both methods, is increasingly used in head and neck cancer (HNC). This sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f942ed2a300deb3ead0ec623218c95ef
https://doi.org/10.15212/radsci-2022-0006
https://doi.org/10.15212/radsci-2022-0006