Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Maha Saadeh"'
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
COVID-19 is a global pandemic that affected the everyday life activities of billions around the world. It is an unprecedented crisis that the modern world had never experienced before. It mainly affected the economic state and the health care system.
Externí odkaz:
https://doaj.org/article/0379290b0df94ff2931efefd5c7ffbcc
Autor:
Heba Saadeh, Maha Saadeh, Wesam Almobaideen, Assem Al Refaei, Nour Shewaikani, Reem Qadan Al Fayez, Hamzah Khawaldah, Sobuh Abu-Shanab, Maysa Al-Hussaini
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2021)
Objectives: This study was designed to assess the effect of COVID-19 home quarantine and its lifestyle challenges on the sleep quality and mental health of a large sample of undergraduate University students in Jordan. It is the first study applied t
Externí odkaz:
https://doaj.org/article/3e5c08a8f7ef4744ab055c461142e631
Publikováno v:
IET Computer Vision, Vol 12, Iss 6, Pp 855-862 (2018)
Flower classification is a challenging task due to the wide range of flower species, which have a similar shape, appearance or surrounding objects such as leaves and grass. In this study, the authors propose a novel two‐step deep learning classifie
Externí odkaz:
https://doaj.org/article/a4a294c6896641c6872802c3d899fbd4
Publikováno v:
2022 International Conference on Computer, Information and Telecommunication Systems (CITS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c96d4957731f1ef51adab07cad1320
https://doi.org/10.1109/cits55221.2022.9832988
https://doi.org/10.1109/cits55221.2022.9832988
Publikováno v:
Computers & Security. :103283
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1da4f247e0fd0d8f5c85a92cb0d8727f
https://doi.org/10.1016/j.cose.2023.103283
https://doi.org/10.1016/j.cose.2023.103283
Publikováno v:
Neural Processing Letters. 53:177-209
Machine learning techniques, that are based on semantic analysis of behavioural attack patterns, have not been successfully implemented in cyber threat intelligence. This is because of the error prone and time-consuming manual process of deep learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d91e51c59d2df57873d7f4509062b2
https://doi.org/10.1007/s11063-020-10381-x
https://doi.org/10.1007/s11063-020-10381-x
Publikováno v:
Expert Systems with Applications. 213:118745
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1a54b3d2148b256913f455e5ca84cf
https://doi.org/10.1016/j.eswa.2022.118745
https://doi.org/10.1016/j.eswa.2022.118745
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Frontiers in Medicine
Frontiers in Medicine
COVID-19 is a global pandemic that affected the everyday life activities of billions around the world. It is an unprecedented crisis that the modern world had never experienced before. It mainly affected the economic state and the health care system.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7104862dfca69cf99d273aeebc501e0
https://www.frontiersin.org/articles/10.3389/fmed.2021.600415/full
https://www.frontiersin.org/articles/10.3389/fmed.2021.600415/full
Publikováno v:
Journal of Information Security and Applications. 67:103173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2f6031de211bb4f4d13cbfd0754a988
https://doi.org/10.1016/j.jisa.2022.103173
https://doi.org/10.1016/j.jisa.2022.103173
Autor:
Maha Saadeh, Kiyan Afsari
Publikováno v:
2020 3rd International Conference on Signal Processing and Information Security (ICSPIS).
The rise of Artificial Intelligence (AI) and robotics in the past decade has created various career opportunities in many industries such as robotics, manufacturing and healthcare. Thus, skills such as AI and robotics will play a critical role in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::338e84172cca85e187078587d86d3af7
https://doi.org/10.1109/icspis51252.2020.9340156
https://doi.org/10.1109/icspis51252.2020.9340156