المؤلفون: Alahmadi Dimah H., Baothman Fatmah Abdulrahman, Alrajhi Mona M., Alshahrani Fatimah S., Albalawi Hawazin Z.

المصدر: Journal of Intelligent Systems, Vol 31, Iss 1, Pp 55-69 (2021)

مصطلحات موضوعية: shipping, port, blockchain, supply chain, conceptual framework, internet of things, port system, Science, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2191-026XTest

الوصول الحر: https://doaj.org/article/e63850da6d5a43069fa5f1aa0c049a9bTest

المؤلفون: Baothman Fatmah Abdulrahman, Edhah Budoor Salem

المصدر: Journal of Intelligent Systems, Vol 30, Iss 1, Pp 903-919 (2021)

مصطلحات موضوعية: steganography, digital security, software agents lsb steganography, ensemble classifier, steganography datasets, Science, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2191-026XTest

الوصول الحر: https://doaj.org/article/ee0e238c2a7b4e85baf91323259779a9Test

المؤلفون: Alnahdi, Amany K, Aboalela, Rania A, Khazmari, Rasha K., Baothman, Fatmah A, Babour, Amal J, Al Taisan, Huda A

المصدر: Journal of Physics: Conference Series ; volume 2188, issue 1, page 012010 ; ISSN 1742-6588 1742-6596

الإتاحة: https://doi.org/10.1088/1742-6596/2188/1/012010Test

المؤلفون: Bahurmuz, Naelah O., Amoudi, Ghada A., Baothman, Fatmah A., Jamal, Amani T., Alghamdi, Hanan S., Alhothali, Areej M.

المساهمون: Deputyship for Research Innovation, Ministry of Education in Saudi Arabia, King Abdulaziz University, DSR, Jeddah, Saudi Arabia

المصدر: IEEE Access ; volume 10, page 114907-114918 ; ISSN 2169-3536

مصطلحات موضوعية: General Engineering, General Materials Science, General Computer Science, Electrical and Electronic Engineering

الإتاحة: https://doi.org/10.1109/access.2022.3217522Test
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09931021.pdf?arnumber=9931021Test

المؤلفون: Lakhan, Abdullah, Mastoi, Qurat-ul-ain, Dootio, Mazhar Ali, Alqahtani, Fehaid, R. Alzahrani, Ibrahim, Baothman, Fatmah, Shah, Syed Yaseen, Shah, Syed Aziz, Anjum, Nadeem, Abbasi, Qammer Hussain, Khokhar, Muhammad Saddam

وصف الملف: text

العلاقة: http://eprints.gla.ac.uk/249899/1/249899.pdfTest; Lakhan, A. et al. (2021) Hybrid workload enabled and secure healthcare monitoring sensing framework in distributed fog-cloud network. Electronics , 10(16), 1974. (doi:10.3390/electronics10161974 )

الإتاحة: https://doi.org/10.3390/electronics10161974Test
http://eprints.gla.ac.uk/249899Test/
http://eprints.gla.ac.uk/249899/1/249899.pdfTest

المؤلفون: Umair, Muhammad, Khan, Muhammad Shahbaz, Ahmed, Fawad, Baothman, Fatmah, Alqahtani, Fehaid, Alian, Muhammad, Ahmad, Jawad

مصطلحات موضوعية: COVID-19, artificial intelligence, transfer learning, CNN, X-ray images

العلاقة: http://researchrepository.napier.ac.uk/Output/2804703Test; https://napier-repository.worktribe.com/file/2804703/1/Detection%20Of%20COVID-19%20Using%20Transfer%20Learning%20And%20Grad-CAM%20Visualization%20On%20Indigenously%20Collected%20X-ray%20DatasetTest

الإتاحة: https://doi.org/10.3390/s21175813Test
https://napier-repository.worktribe.com/file/2804703/1/Detection%20Of%20COVID-19%20Using%20Transfer%20Learning%20And%20Grad-CAM%20Visualization%20On%20Indigenously%20Collected%20X-ray%20DatasetTest
http://researchrepository.napier.ac.uk/Output/2804703Test

المؤلفون: Huma, Zil E., Latif, Shahid, Ahmad, Jawad, Idrees, Zeba, Ibrar, Anas, Zou, Zhuo, Alqahtani, Fehaid, Baothman, Fatmah

مصطلحات موضوعية: Attack detection, cybersecurity, deep learning, Industrial Internet of Things, random neural network

العلاقة: http://researchrepository.napier.ac.uk/Output/2762541Test; https://napier-repository.worktribe.com/file/2762541/1/A%20Hybrid%20Deep%20Random%20Neural%20Network%20For%20Cyberattack%20Detection%20In%20The%20Industrial%20Internet%20Of%20ThingsTest

الإتاحة: https://doi.org/10.1109/access.2021.3071766Test
https://napier-repository.worktribe.com/file/2762541/1/A%20Hybrid%20Deep%20Random%20Neural%20Network%20For%20Cyberattack%20Detection%20In%20The%20Industrial%20Internet%20Of%20ThingsTest
http://researchrepository.napier.ac.uk/Output/2762541Test

المؤلفون: Baothman, Fatmah, Alssagaff, Sarah, Ashmeel, Bayan

المصدر: Intelligent Automation & Soft Computing ; volume 27, issue 2, page 519-531 ; ISSN 1079-8587

الإتاحة: https://doi.org/10.32604/iasc.2021.014828Test
https://www.techscience.com/iasc/v27n2/41251/pdfTest

المؤلفون: Baothman, Fatmah, Saeedi, Kawther, Aljuhani, Khulood, Alkatheri, Safaa, Almeatani, Mashael, Alothman, Nourah

المصدر: Intelligent Automation & Soft Computing ; volume 27, issue 3, page 625-639 ; ISSN 1079-8587

الإتاحة: https://doi.org/10.32604/iasc.2021.014827Test

المؤلفون: Abdulrahman Baothman, Fatmah, Ahmed Abulnaja, Osama, Jafar Muhdher, Fatima

المصدر: Computers, Materials & Continua ; volume 69, issue 3, page 3337-3363 ; ISSN 1546-2226

الإتاحة: https://doi.org/10.32604/cmc.2021.017637Test
https://www.techscience.com/cmc/v69n3/44132/pdfTest