Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mohammed Diykh"'
Publikováno v:
IEEE Access, Vol 10, Pp 79090-79099 (2022)
Photovoltaic (PV) devices are one of the most renewable energy sources in demand globally. To harvest the maximum possible energy output from PV panels, it is necessary to orient them in a position where the sunray can fall on them perpendicularly. I
Externí odkaz:
https://doaj.org/article/9c5e88c33447457395df92abf24e417b
Publikováno v:
Frontiers in Neuroinformatics, Vol 15 (2022)
Identification of alcoholism is clinically important because of the way it affects the operation of the brain. Alcoholics are more vulnerable to health issues, such as immune disorders, high blood pressure, brain anomalies, and heart problems. These
Externí odkaz:
https://doaj.org/article/687376f2d85f4286a151140908ceaf40
Publikováno v:
Diagnostics, Vol 12, Iss 1, p 74 (2021)
Experts usually inspect electroencephalogram (EEG) recordings page-by-page in order to identify epileptic seizures, which leads to heavy workloads and is time consuming. However, the efficient extraction and effective selection of informative EEG fea
Externí odkaz:
https://doaj.org/article/86e9fafe06ab4f3192408e19433f9793
Publikováno v:
IEEE Access, Vol 5, Pp 6036-6048 (2017)
Although the number of cloud projects has dramatically increased over the last few years, ensuring the availability and security of project data, services, and resources is still a crucial and challenging research issue. Distributed denial of service
Externí odkaz:
https://doaj.org/article/eae44800f46e4fedb0fba8b66d475bf9
Autor:
Iman Alsafy, Mohammed Diykh
Publikováno v:
Physical and Engineering Sciences in Medicine. 45:793-808
Monitoring depth of anaesthesia (DoA) from electroencephalograph (EEG) signals is an ongoing challenge for anaesthesiologists. In this study, we propose an intelligence model that predicts the DoA from a single channel electroencephalograph (EEG) sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14943447caf2e2a0d7ed274b7fb88fe6
https://doi.org/10.1007/s13246-022-01145-z
https://doi.org/10.1007/s13246-022-01145-z
Publikováno v:
Proceedings of Third Doctoral Symposium on Computational Intelligence ISBN: 9789811931475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d69275f29bc59a0326e2a5f655f26326
https://doi.org/10.1007/978-981-19-3148-2_26
https://doi.org/10.1007/978-981-19-3148-2_26
Autor:
Hadeer Mohammed, Mohammed Diykh
Publikováno v:
Biomedical Signal Processing and Control. 85:104923
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5982304a4383a66edee199cab3ef69d
https://doi.org/10.1016/j.bspc.2023.104923
https://doi.org/10.1016/j.bspc.2023.104923
Publikováno v:
IET Science, Measurement & Technology. 14:128-136
To develop an accurate and efficient depth of anaesthesia (DoA) assessment technique that could help anaesthesiologists to trace the patient's anaesthetic state during surgery, a new automated DoA approach was proposed. It applied wavelet-Fourier ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea5de4280febb54122c9ad02696f2119
https://doi.org/10.1049/iet-smt.2018.5393
https://doi.org/10.1049/iet-smt.2018.5393
Publikováno v:
Computer methods and programs in biomedicine. 229
With the rapid development of technology, human activity recognition (HAR) from sensor data has become a key element for many real-world applications, such as healthcare, disease diagnosis and smart home systems. Although there have been several stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5358a6e09aeed033e44afc4b39ff5721
https://pubmed.ncbi.nlm.nih.gov/36527814
https://pubmed.ncbi.nlm.nih.gov/36527814
Autor:
Shahab Abdulla, Mohammed Diykh, Sarmad K. D. AlKhafaji, Atheer Y. Oudah, Haydar Abdulameer Marhoon, Rand Ameen Azeez
Publikováno v:
Health Information Science ISBN: 9783031206269
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b0e2a92c831aa80d68af1d4b00dba32
https://doi.org/10.1007/978-3-031-20627-6_6
https://doi.org/10.1007/978-3-031-20627-6_6