Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Abd Rahman Ramli"'
Publikováno v:
Journal of Medical Signals and Sensors, Vol 11, Iss 2, Pp 120-130 (2021)
Background: A timely diagnosis of Alzheimer's disease (AD) is crucial to obtain more practical treatments. In this article, a novel approach using Auto-Encoder Neural Networks (AENN) for early detection of AD was proposed. Method: The proposed method
Externí odkaz:
https://doaj.org/article/1240d2e95b5e40ea907490075efe4d44
Autor:
Basheera M. Mahmmod, Abd Rahman Ramli, Thar Baker, Feras Al-Obeidat, Sadiq H. Abdulhussain, Wissam A. Jassim
Publikováno v:
IEEE Access, Vol 7, Pp 103485-103504 (2019)
Different types of noise from the surrounding always interfere with speech and produce annoying signals for the human auditory system. To exchange speech information in a noisy environment, speech quality and intelligibility must be maintained, which
Externí odkaz:
https://doaj.org/article/09dad5cf5acf4c18991ea24014972757
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 29, Iss 3, Pp 288-294 (2017)
A robust and transparent watermarking scheme based on contourlet transform and quantization index modulation is proposed in this paper. In proposal algorithm, after taking contourlet, the coefficients are divided into three quadrants by using the sym
Externí odkaz:
https://doaj.org/article/478cc511a62b4237835b5d6fd28b1684
Autor:
Sadiq H. Abdulhussain, Abd Rahman Ramli, Syed Abdul Rahman Al-Haddad, Basheera M. Mahmmod, Wissam A. Jassim
Publikováno v:
IEEE Access, Vol 5, Pp 2470-2478 (2017)
Tchebichef polynomials (TPs) and their moments are widely used in signal processing due to their remarkable performance in signal analysis, feature extraction, and compression capability. The common problem of the TP is that the coefficients computat
Externí odkaz:
https://doaj.org/article/2cb20e6a1eb24426b0ba399740a44d75
Autor:
Basheera M. Mahmmod, Abd Rahman Ramli, Sadiq H. Abdulhussian, Syed Abdul Rahman Al-Haddad, Wissam A. Jassim
Publikováno v:
IEEE Access, Vol 5, Pp 9866-9881 (2017)
The most well-known conventional speech enhancement algorithms introduce unwanted artifact noise and speech distortion to the enhanced signal. Reducing the effects of such issues require more robust linear and non-linear estimators. This paper propos
Externí odkaz:
https://doaj.org/article/6e30ebff4427435a93b22bbfc36ab596
Publikováno v:
Sensors, Vol 20, Iss 3, p 941 (2020)
In the past decade, many studies have been conducted to advance computer-aided systems for Alzheimer’s disease (AD) diagnosis. Most of them have recently developed systems concentrated on extracting and combining features from MRI, PET, and CSF. Fo
Externí odkaz:
https://doaj.org/article/7daad6277f9e47cd99205354e96a12a7
Publikováno v:
PLoS ONE, Vol 12, Iss 12, p e0188939 (2017)
The structure and appearance of the blood vessel network in retinal fundus images is an essential part of diagnosing various problems associated with the eyes, such as diabetes and hypertension. In this paper, an automatic retinal vessel segmentation
Externí odkaz:
https://doaj.org/article/23928563f5cf4ec88733e9c850eeb3ff
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Deploying large numbers of mobile robots which can interact with each other produces swarm intelligent behavior. However, mobile robots are normally running with finite energy resource, supplied from finite battery. The limitation of energy resource
Externí odkaz:
https://doaj.org/article/7c177cb5d02343869af8065faba72732
Autor:
Wissam A. Jassim, M. Iqbal Saripan, Sadiq H. Abdulhussain, Abd Rahman Ramli, Basheera M. Mahmmod, Syed Abdul Rahman Al-Haddad
Publikováno v:
Multimedia Tools and Applications. 78:20361-20382
Shot boundary detection (SBD) is a substantial step in video content analysis, indexing, retrieval, and summarization. SBD is the process of automatically partitioning video into its basic units, known as shots, through detecting transitions between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c416aa70bf43197516325ba1d6bf6ffe
https://doi.org/10.1007/s11042-019-7364-3
https://doi.org/10.1007/s11042-019-7364-3
Autor:
Sadiq H. Abdulhussain, Wissam A. Jassim, Basheera M. Mahmmod, Feras N. Al-Obeidat, Thar Baker, Abd Rahman Ramli
Publikováno v:
IEEE Access, Vol 7, Pp 103485-103504 (2019)
Different types of noise from the surrounding always interfere with speech and produce annoying signals for the human auditory system. To exchange speech information in a noisy environment, speech quality and intelligibility must be maintained, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::790e5a36c038bd48754d525af7478efb
https://doi.org/10.1109/access.2019.2929864
https://doi.org/10.1109/access.2019.2929864