Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Malek Alrashidi"'
Autor:
Mansoor Habbash, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Ahmad S. Tarawneh, Abdullah Gumair, Ahmad B. Hassanat
Publikováno v:
IEEE Access, Vol 12, Pp 37219-37230 (2024)
Accents, or changes in how different people speak the same word/sentence in the same language, pose substantial communication issues in most spoken languages. This is a well-known fact, but how does the accent of one language affect learning/speaking
Externí odkaz:
https://doaj.org/article/32bf682be9a8449b879bc65644fae875
Autor:
Abdelbari Ben Yagouta, Bechir Ben Gouissem, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Majed Abdullah Alrowaily, Ibrahim Alkhazi, Rahma Gantassi, Salem Hasnaoui
Publikováno v:
Sensors, Vol 23, Iss 20, p 8534 (2023)
The involvement of wireless sensor networks in large-scale real-time applications is exponentially growing. These applications can range from hazardous area supervision to military applications. In such critical contexts, the simultaneous improvement
Externí odkaz:
https://doaj.org/article/372f59f9d40741f9b06ac7d0a91ad494
Autor:
Ahmad B. Hassanat, Hasan N. Ali, Ahmad S. Tarawneh, Malek Alrashidi, Mansoor Alghamdi, Ghada Awad Altarawneh, Mohammad Ali Abbadi
Publikováno v:
IEEE Access, Vol 10, Pp 12592-12606 (2022)
There are a plethora of invented classifiers in Machine learning literature, however, there is no optimal classifier in terms of accuracy and time taken to build the trained model, especially with the tremendous development and growth of Big data. He
Externí odkaz:
https://doaj.org/article/d83bdac5169d4b8383a3e3aa038c4171
Autor:
Saloni Laddha, Sami Mnasri, Mansoor Alghamdi, Vijay Kumar, Manjit Kaur, Malek Alrashidi, Abdullah Almuhaimeed, Ali Alshehri, Majed Abdullah Alrowaily, Ibrahim Alkhazi
Publikováno v:
Diagnostics, Vol 12, Iss 8, p 1880 (2022)
In December 2019, the novel coronavirus disease 2019 (COVID-19) appeared. Being highly contagious and with no effective treatment available, the only solution was to detect and isolate infected patients to further break the chain of infection. The sh
Externí odkaz:
https://doaj.org/article/ca6aa9ca66e44ab68567794be84b3292
Autor:
Ghada A. Altarawneh, Ahmad B. Hassanat, Ahmad S. Tarawneh, Ahmad Abadleh, Malek Alrashidi, Mansoor Alghamdi
Publikováno v:
Economies, Vol 10, Iss 2, p 43 (2022)
One of the most difficult problems analysts and decision-makers may face is how to improve the forecasting and predicting of financial time series. However, several efforts were made to develop more accurate and reliable forecasting methods. The main
Externí odkaz:
https://doaj.org/article/4291f908e2864f3e97d518135e0e2956
Autor:
Malek Alrashidi
Publikováno v:
Computers, Vol 9, Iss 4, p 91 (2020)
Using Internet of Things (IoT) solutions is a promising way to ensure that social distancing is respected, especially in common indoor spaces. This paper proposes a system of placement and relocation of people within an indoor space, using an intelli
Externí odkaz:
https://doaj.org/article/d944c6bd61f843248d3b09250a24bb7b
Autor:
Malek Alrashidi
Publikováno v:
The Journal of Supercomputing. 79:10747-10773
Autor:
Hassanat, Eyhab Al-Mahadeen, Mansoor Alghamdi, Ahmad S. Tarawneh, Majed Abdullah Alrowaily, Malek Alrashidi, Ibrahim S. Alkhazi, Almoutaz Mbaidin, Anas Ali Alkasasbeh, Mohammad Ali Abbadi, Ahmad B.
Publikováno v:
Sustainability; Volume 15; Issue 13; Pages: 10456
With the increasing popularity of smartphones, user identification has become a critical component to ensure security and privacy. This study looked into how smartphone sensors’ data can be utilized to identify/authenticate users and gives suggesti
Publikováno v:
2022 2nd International Conference on Computing and Information Technology (ICCIT).
Autor:
Ahmad Hassanat, Abeer Albustanji, Tarawneh, Ahmad S., Malek Alrashidi, Hani Alharbi, Mohammed Alanazi, Mansoor Alghamdi, Alkhazi, Ibrahim S., Surya Prasath, V. B.
Publikováno v:
Web of Science
Biometric recognition based on the full face is an extensive research area. However, using only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep convolutional neural network (CNN) is used in this work to ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c32877d8f74529dfad2b2457400f847b
http://arxiv.org/abs/2111.01930
http://arxiv.org/abs/2111.01930