Výsledky vyhledávání - "Fahad Ghabban"

Akademický článek

Beyond Traditional Biometrics: Harnessing Chest X-Ray Features for Robust Person Identification

Autor: Farah Hazem, Bennour Akram, Tahar Mekhaznia, Fahad Ghabban, Abdullah Alsaeedi, Bhawna Goyal

Publikováno v: Acta Informatica Pragensia, Vol 13, Iss 2, Pp 234-250 (2024)

Person identification through chest X-ray radiographs stands as a vanguard in both healthcare and biometrical security domains. In contrast to traditional biometric modalities, such as facial recognition, fingerprints and iris scans, the research ori

Externí odkaz: https://doaj.org/article/aabc4a4b235b4956aea5f01652fc53fd

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Akademický článek

Contribution to pulmonary diseases diagnostic from X-ray images using innovative deep learning models

Autor: Akram Bennour, Najib Ben Aoun, Osamah Ibrahim Khalaf, Fahad Ghabban, Wing-Keung Wong, Sameer Algburi

Publikováno v: Heliyon, Vol 10, Iss 9, Pp e30308- (2024)

Pulmonary disease identification and characterization are among the most intriguing research topics of recent years since they require an accurate and prompt diagnosis. Although pulmonary radiography has helped in lung disease diagnosis, the interpre

Externí odkaz: https://doaj.org/article/f2a2614d356a489eb42ae87fe9e210c4

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Akademický článek

Intrapartum cardiotocography trace pattern pre-processing, features extraction and fetal health condition diagnoses based on RCOG guideline

Autor: Shahad Al-yousif, Ihab A. Najm, Hossam Subhi Talab, Nourah Hasan Al Qahtani, M. Alfiras, Osama YM Al-Rawi, Wisam Subhi Al-Dayyeni, Ali Amer Ahmed Alrawi, Mohannad Jabbar Mnati, Mu’taman Jarrar, Fahad Ghabban, Nael A. Al-Shareefi, Mustafa Musa Jaber, Abbadullah H. Saleh, Nooritawati Md Tahir, Huda T. Najim, Mayada Taher

Publikováno v: PeerJ Computer Science, Vol 8, p e1050 (2022)

Context The computerization of both fetal heart rate (FHR) and intelligent classification modeling of the cardiotocograph (CTG) is one of the approaches that are utilized in assisting obstetricians in conducting initial interpretation based on (CTG)

Externí odkaz: https://doaj.org/article/ec28bf72378044558ba76c5750f78fb5

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Akademický článek

Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images

Autor: Mona Algarni, Abdulkader Al-Rezqi, Faisal Saeed, Abdullah Alsaeedi, Fahad Ghabban

Publikováno v: PeerJ Computer Science, Vol 8, p e993 (2022)

Background The detection of coronary artery disease (CAD) from the X-ray coronary angiography is a crucial process which is hindered by various issues such as presence of noise, insufficient contrast of the input images along with the uncertainties c

Externí odkaz: https://doaj.org/article/c9508ae4cff04cbc95d3b9e9fe2c003d

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Akademický článek

A Review on Electronic Nose: Coherent Taxonomy, Classification, Motivations, Challenges, Recommendations and Datasets

Autor: Wisam Subhi Al-Dayyeni, Shahad Al-Yousif, Mayada M. Taher, Ahmad Wahib Al-Faouri, Nooritawati Md Tahir, Mustafa Musa Jaber, Fahad Ghabban, Ihab A. Najm, Ibrahim M. Alfadli, Omair Z. Ameerbakhsh, Mohannad Jabbar Mnati, Nael A. Al-Shareefi, Abbadullah H. Saleh

Publikováno v: IEEE Access, Vol 9, Pp 88535-88551 (2021)

Context: Quality Control (QC) has been constantly an essential concern in many fields like food industry production, medical drugs, environmental protection, and so on. An odor or flavor, as a global fingerprint, can be implemented as a non-invasive

Externí odkaz: https://doaj.org/article/4feac40244834b599ff397a51d90367d

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Akademický článek

SeFACED: Semantic-Based Forensic Analysis and Classification of E-Mail Data Using Deep Learning

Autor: Maryam Hina, Mohsin Ali, Abdul Rehman Javed, Fahad Ghabban, Liaqat Ali Khan, Zunera Jalil

Publikováno v: IEEE Access, Vol 9, Pp 98398-98411 (2021)

Artificial Intelligence (AI), in combination with the Internet of Things (IoT), called (AIoT), an emerging trend in industrial applications, is capable of intelligent decision-making with self-driven analytics. With its extensive usage in diverse sce

Externí odkaz: https://doaj.org/article/293eef46caa348ffad6c0a2f231e4898

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Akademický článek

A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches

Autor: Shilan S. Hameed, Wan Haslina Hassan, Liza Abdul Latiff, Fahad Ghabban

Publikováno v: PeerJ Computer Science, Vol 7, p e414 (2021)

Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional healthcare system. However, little attention has been paid to their security requirements in the development of the IoMT devices and systems. One of the main rea

Externí odkaz: https://doaj.org/article/26eba2e2ca454ceabc025280ab6b0b81

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Akademický článek

Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)

Autor: Mona Algarni, Faisal Saeed, Tawfik Al-Hadhrami, Fahad Ghabban, Mohammed Al-Sarem

Publikováno v: Sensors, Vol 22, Iss 8, p 2976 (2022)

Emotions are an essential part of daily human communication. The emotional states and dynamics of the brain can be linked by electroencephalography (EEG) signals that can be used by the Brain–Computer Interface (BCI), to provide better human–mach

Externí odkaz: https://doaj.org/article/b33c175136234e938ef0fd548b6824b7

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