Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Anwer Mustafa Hilal"'
Autor:
Jawhara Aljabri, Nada Alzaben, Nadhem NEMRI, Saad Alahmari, Shoayee Dlaim Alotaibi, Sana Alazwari, Alaa O. Khadidos, Anwer Mustafa Hilal
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 164-171 (2024)
With the fast development of the Internet of Things (IoTs), phishing attacks are transferring to this domain because of the number of IoT devices and private data they can handle. IoT phishing suggests the malicious practice of targeting IoT devices
Externí odkaz:
https://doaj.org/article/01a35a794b5b456a8e162728ac7b8ca0
Autor:
Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Fahd N. Al-Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza
Publikováno v:
Journal of Mathematics, Vol 2024 (2024)
Human activity recognition (HAR) for disabled people is a vital research area, which aims to help individuals with disabilities in their daily lives. HAR involves using technology, typically wearable devices or sensors, to automatically identify and
Externí odkaz:
https://doaj.org/article/0300d0dbbee94acdb977751207d6966d
Publikováno v:
PeerJ Computer Science, Vol 9, p e1596 (2023)
In recent days, cyber-physical systems (CPS) have become a new wave generation of human life, exploiting various smart and intelligent uses of automotive systems. In these systems, information is shared through networks, and data is collected from mu
Externí odkaz:
https://doaj.org/article/d10d96bcdba9482c8a878910290eef25
Autor:
Fahad F. Alruwaili, Mashael M. Asiri, Fatma S. Alrayes, Sumayh S. Aljameel, Ahmed S. Salama, Anwer Mustafa Hilal
Publikováno v:
IEEE Access, Vol 11, Pp 131749-131758 (2023)
The Internet of Things (IoT) based Wireless Sensor Networks (WSNs) contain interconnected autonomous sensor nodes (SN), which wirelessly communicate with each other and the wider internet structure. Intrusion detection to secure IoT-based WSNs is cri
Externí odkaz:
https://doaj.org/article/b6f4014516c74674b46bfd8c17df5590
Autor:
Mohammad Alamgeer, Hend Khalid Alkahtani, Mashael Maashi, Mahmoud Othman, Anwer Mustafa Hilal, Mohamed Ibrahim Alsaid, Azza Elneil Osman, Amani A. Alneil
Publikováno v:
IEEE Access, Vol 11, Pp 61986-61994 (2023)
Floods are one of the most severe and most frequent natural calamities. It causes enormous economic damage and even leads to higher mortality rates. Studies on damage detection of roads using artificial intelligence (AI) methods gained more attention
Externí odkaz:
https://doaj.org/article/985e0969536c411a826ce11b459a11a6
Autor:
Fahd N. Al-Wesabi, Fadwa Alrowais, Heba G. Mohamed, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel
Publikováno v:
IEEE Access, Vol 11, Pp 86104-86111 (2023)
Text information is a natural language dependent, which enhances reliability and security of text data exchanged through Internet networks and is becoming main concern for researchers. Content authentication, Tampering detection, and integrity verifi
Externí odkaz:
https://doaj.org/article/b080ca2beeaf47dabce902fe70050364
Autor:
Sayeed Haider Salih, Samah Abdelsalam, Mosab Hamdan, Abdelzahir Abdelmaboud, Muzaffar Hamzah, Anwer Mustafa Hilal, Abdelwahed Motwakel
Publikováno v:
IEEE Access, Vol 10, Pp 108004-108020 (2022)
Although numerous case studies have determined the critical success factors (CSFs) for enterprise resource planning (ERP) during the adoption and implementation stages, empirical investigations of CSFs for ERP in post-implementation stages (after goi
Externí odkaz:
https://doaj.org/article/62175c2b324a43d2912a2aff0a68f223
Autor:
Anwer Mustafa Hilal, Fahd N. Al-Wesabi, Khalid J Alzahrani, Mesfer Al Duhayyim, Manar Ahmed Hamza, Mohammed Rizwanullah, Vicente García Díaz
Publikováno v:
European Journal of Remote Sensing, Vol 0, Iss 0, Pp 1-12 (2022)
Remote-sensing images comprise massive amount of spatial and semantic data that can be employed for several applications. Presently, deep learning (DL) models for RS image processing become a familiar research area. Due to the advancements of recent
Externí odkaz:
https://doaj.org/article/353d0ff871a8457582eb8021fa79bb72
Autor:
Adil Aslam Mir, Fatih Vehbi Celebi, Muhammad Rafique, Lal Hussain, Ahmed S. Almasoud, Masoud Alajmi, Fahd N. Al-Wesabi, Anwer Mustafa Hilal
Publikováno v:
IEEE Access, Vol 10, Pp 20590-20601 (2022)
This article primarily focuses on the performance evaluation of a new methodology, imputation by feature importance (IBFI), to serve its imputed dataset in further regression scenarios when dealing with soil radon gas concentration (SRGC) time-series
Externí odkaz:
https://doaj.org/article/d09adc7d0b5d4494a68e36aa1a9bd140
Autor:
Shahzad Ahmad Qureshi, Lal Hussain, Haya Mesfer Alshahrani, Syed Rahat Abbas, Mohamed K Nour, Nayabb Fatima, Muhammad Imran Khalid, Huniya Sohail, Abdullah Mohamed, Anwer Mustafa Hilal
Publikováno v:
IEEE Access, Vol 10, Pp 87302-87321 (2022)
The gunshot event localization and classification have numerous real-time applications. The study is also useful for steering the video camera and guns in the directed direction. This paper proposes a framework that can be used for a surveillance sys
Externí odkaz:
https://doaj.org/article/ff69e148e7534f38965178b04956cebf