Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Dhiah Al-Shammary"'
Publikováno v:
Journal of Electronic Science and Technology, Vol 22, Iss 2, Pp 100249- (2024)
This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor (KNN), random forest (RF), decision tree (DT), and support vector machine (SVM) for arrhythmia detection. The p
Externí odkaz:
https://doaj.org/article/09ffc55639f74298a3eb355c8fec1f31
Publikováno v:
IEEE Access, Vol 12, Pp 127357-127367 (2024)
This paper introduces a new classifier based on the Hellinger distance to overcome the challenges encountered by standard classifiers in accurately diagnosing seizure epilepsy using electroencephalogram (EEG) signals. They mainly suffer from poor dis
Externí odkaz:
https://doaj.org/article/5b2a695809bc4cfb8d8a3e9761d7de94
Autor:
Ali Hakem Alsaeedi, Haider Hameed R. Al-Mahmood, Zainab Fahad Alnaseri, Mohammad R. Aziz, Dhiah Al-Shammary, Ayman Ibaida, Khandakar Ahmed
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract The integration of biology, computer science, and statistics has given rise to the interdisciplinary field of bioinformatics, which aims to decode biological intricacies. It produces extensive and diverse features, presenting an enormous cha
Externí odkaz:
https://doaj.org/article/5366fef73f8149ed9a5255573691f4f2
Autor:
Dhiah Al-Shammary, Mohammed Radhi, Ali Hakem AlSaeedi, Ahmed M. Mahdi, Ayman Ibaida, Khandakar Ahmed
Publikováno v:
Informatics in Medicine Unlocked, Vol 47, Iss , Pp 101510- (2024)
Diagnostic systems of cardiac arrhythmias face early and accurate detection challenges due to the overlap of electrocardiogram (ECG) patterns. Additionally, these systems must manage a huge number of features. This paper proposes a new classifier Kul
Externí odkaz:
https://doaj.org/article/0e5fe843abd746e6997ef5047303fc2a
Publikováno v:
Informatics in Medicine Unlocked, Vol 47, Iss , Pp 101492- (2024)
This paper introduces a novel clustering approach based on Minkowski's mathematical similarity to improve EEG feature selection for classification and have efficient Particle Swarm Optimization (PSO) in the context of machine learning. Given the intr
Externí odkaz:
https://doaj.org/article/e5ae04172a3c49e8ab14dcf52e1771ba
Publikováno v:
IEEE Access, Vol 11, Pp 115816-115826 (2023)
Based on Hilbert Random Secure Distribution, a novel data-hiding method for embedding secret information about the patient in a cover image MRI sample has been proposed. Least significant bit (LSB) and most significant bit (MSB) techniques are applie
Externí odkaz:
https://doaj.org/article/912922202db444858a2c0965fdddfacf
Publikováno v:
Procedia Computer Science. 218:1033-1044
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6359901075af3525903886c8331924a4
https://doi.org/10.1016/j.procs.2023.01.083
https://doi.org/10.1016/j.procs.2023.01.083
Autor:
Suha Mohammed Hadi, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber
Publikováno v:
IET Networks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f369c838506a4b68b968a598b71eb4fe
https://doi.org/10.1049/ntw2.12063
https://doi.org/10.1049/ntw2.12063
Publikováno v:
Visual Informatics. 5:41-50
This paper proposes a new high-performance Discrete Cosine Transform (DCT) for image and signal processing applications. Generally, DCT has been developed in a wide range of applications such as image compression and motion detection. However, the hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55bffdc8b3e73e8bd615d51c2ac7e2de
https://doi.org/10.1016/j.visinf.2021.06.001
https://doi.org/10.1016/j.visinf.2021.06.001
Publikováno v:
Procedia Computer Science. 167:1240-1249
Intelligent healthcare systems need recording, sending and treating large amounts of medical data produced from various kinds of medical sensors nodes. This is a challenging task and may lead to increase the network traffic, latency, and energy consu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acacc5fad213742dd10afb8a81f965f0
https://doi.org/10.1016/j.procs.2020.03.439
https://doi.org/10.1016/j.procs.2020.03.439