Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ahlam Al-Dhamari"'
Autor:
Mohammed Sultan Mohammed, Ahlam Al-Dhamari, Mosab Hamdan, Abdul-Malik H. Y. Saad, Antar S. H. Abdul-Qawy, M. N. Marsono
Publikováno v:
IEEE Access, Vol 11, Pp 131964-131978 (2023)
The continuous scaling of silicon technology has enabled many-core systems to become ubiquitous, offering enormous computational power for various applications spanning from high-performance computing to mobile devices. However, this advancement resu
Externí odkaz:
https://doaj.org/article/31c186c35802474b8987c5c4114757fe
Autor:
Mohammed Sultan Mohammed, Ahlam Al-Dhamari, Waddah Saeed, Fatima N. Al-Aswadi, Sami Abdulla Mohsen Saleh, M. N. Marsono
Publikováno v:
IEEE Access, Vol 11, Pp 119659-119675 (2023)
Analyzing crowded environments has become an increasingly researched topic in computer vision community, largely due to its myriad practical applications, including enhanced video surveillance systems and the estimation of crowd density in specific s
Externí odkaz:
https://doaj.org/article/693cdcc240174f4aaddd4d24e2e29696
Autor:
Mohammed Sultan Mohammed, Norlina Paraman, Ab Al-Hadi Ab Rahman, Fuad A. Ghaleb, Ahlam Al-Dhamari, Muhammad Nadzir Marsono
Publikováno v:
IEEE Access, Vol 9, Pp 124087-124099 (2021)
Future many-core systems need to address the dark silicon problem, where some cores would be turned off to control the chip’s thermal and power density, which effectively limits the performance gain from having a large number of processing cores. T
Externí odkaz:
https://doaj.org/article/2bf7e79c114643dc8cf9167eba92ca1f
Publikováno v:
IEEE Access, Vol 9, Pp 127444-127459 (2021)
Crowd counting considers one of the most significant and challenging issues in computer vision and deep learning communities, whose applications are being utilized for various tasks. While this issue is well studied, it remains an open challenge to m
Externí odkaz:
https://doaj.org/article/df0a3c7dc29949d0b82513f802842217
Publikováno v:
IEEE Access, Vol 8, Pp 61085-61095 (2020)
Today, machine learning and deep learning have paved the way for vital and critical applications such as abnormal detection. Despite the modernity of transfer learning, it has proved to be one of the crucial inventions in the field of deep learning b
Externí odkaz:
https://doaj.org/article/9e7babd8f3514e80a0158d21ddf17f34
Publikováno v:
Computers, Materials & Continua. 73:3879-3903
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9b14c79f95464c45994c6f071a3e13
https://doi.org/10.32604/cmc.2022.028289
https://doi.org/10.32604/cmc.2022.028289
Publikováno v:
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 29:152-168
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e2450b988429f86c0c494d89dbff82b
https://doi.org/10.3906/elk-1904-187
https://doi.org/10.3906/elk-1904-187
Autor:
Ahlam Al-Dhamari, Norlina Paraman, Fuad A. Ghaleb, Muhammad Nadzir Marsono, Mohammed Sultan Mohammed, Ab Al-Hadi Ab Rahman
Publikováno v:
IEEE Access, Vol 9, Pp 124087-124099 (2021)
Future many-core systems need to address the dark silicon problem, where some cores would be turned off to control the chip’s thermal and power density, which effectively limits the performance gain from having a large number of processing cores. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d95b06386a641ed72835d8f9dad8bf7
https://ieeexplore.ieee.org/document/9527255/
https://ieeexplore.ieee.org/document/9527255/
Autor:
Rubita Sudirman, Ahlam Al-Dhamari, Azli Yahya, Nasrul Humaimi Mahmood, Nor Hisham Haji Khamis
At the essence of video surveillance, there are abnormal detection approaches, which have been proven to be substantially effective in detecting abnormal incidents without prior knowledge about these incidents. Based on the state-of-the-art research,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5da948e39929e915cc9d14cbe190f53
https://zenodo.org/record/3957015
https://zenodo.org/record/3957015
Autor:
Ahlam Al-Dhamari, Ali A. M. Al-Kubati, Norlina Paraman, Muhammad Nadzir Marsono, Ab Al-Hadi Ab Rahman, Mohammed Sultan Mohammed
Publikováno v:
2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO).
Most of the cores in future many-core system-on-chip (MCSoC) will be off or ‘dark’ to manage the high power density and chip temperature of future chips. This problem is called dark silicon problem. This paper presents a task scheduling technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9248fd8fc70c5403aa12a73a4e49405
https://doi.org/10.1109/icmsao.2019.8880300
https://doi.org/10.1109/icmsao.2019.8880300