Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Syed Abdul Rahman Al Haddad"'
Autor:
Karimeh Ibrahim Mohammad Ata, Mohd Khair Hassan, Ayad Ghany Ismaeel, Syed Abdul Rahman Al-Haddad, Thamer Alquthami, Sameer Alani
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 12, Pp 103045- (2024)
Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. While Recurrent Neural Networks (RNN) and traditional Convolutional Neural Networks (CNN) offer
Externí odkaz:
https://doaj.org/article/1325b31f720e4ecfb85901e8210a30c0
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
Publikováno v:
IEEE Access, Vol 8, Pp 41013-41025 (2020)
Orthogonal moments are beneficial tools for analyzing and representing images and objects. Different hybrid forms, which are first and second levels of combination, have been created from the Tchebichef and Krawtchouk polynomials. In this study, all
Externí odkaz:
https://doaj.org/article/0a5c200b3daa4061872a78973af3d3e2
Autor:
Basheer Husham Ali, Nasri Sulaiman, Syed Abdul Rahman Al-Haddad, Rodziah Atan, Siti Lailatul Mohd Hassan, Mokhalad Alghrairi
Publikováno v:
Sensors, Vol 21, Iss 19, p 6453 (2021)
One of the most dangerous kinds of attacks affecting computers is a distributed denial of services (DDoS) attack. The main goal of this attack is to bring the targeted machine down and make their services unavailable to legal users. This can be accom
Externí odkaz:
https://doaj.org/article/3f014145732d43938c6b95578961652b
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 18, Iss 1 (2019)
The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. Several approaches have been proposed, and the majority focused on global shape features. However, one chall
Externí odkaz:
https://doaj.org/article/68a05503b40e40efb077501c683576a9
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
Autor:
Sureshkumar Natarajan, Syed Abdul Rahman Al-Haddad, Faisul Arif Ahmad, Mohd Khair Hassan, Raja Kamil, Syaril Azrad, Mohammed Nawfal Yahya, June Francis Macleans, Pratiksha Prashant Salvekar
Publikováno v:
2022 International Conference on Future Trends in Smart Communities (ICFTSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d04ad15687fef042b0bcd88515f7ddca
https://doi.org/10.1109/icftsc57269.2022.10040065
https://doi.org/10.1109/icftsc57269.2022.10040065
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:
Fakhrul Zaman Rokhani, Syed Abdul Rahman Al-Haddad, Zaid Ahmad, Shaiful Jahari Hashim, Aduwati Sali
Publikováno v:
PEMWN
Industry 4.0 has inspired the emergence of reliable machine-to-machine systems. Rotating Polarization Wave offers highly reliable communication that employs BPSK modulation. This paper proposes Rotating Polarization QPSK (RP-QPSK) using two orthogona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9317fdfc21c3b39bd3b231dae77e3ffc
https://doi.org/10.23919/pemwn50727.2020.9293084
https://doi.org/10.23919/pemwn50727.2020.9293084