Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Nasser Allheeib"'
Autor:
Abdulaziz Almaslukh, Aisha Almaalwy, Nasser Allheeib, Abdulaziz Alajaji, Mohammed Almukaynizi, Yazeed Alabdulkarim
Publikováno v:
PeerJ Computer Science, Vol 10, p e2297 (2024)
In recent years, social media has become much more popular to use to express people’s feelings in different forms. Social media such as X (i.e., Twitter) provides a huge amount of data to be analyzed by using sentiment analysis tools to examine the
Externí odkaz:
https://doaj.org/article/abceab3f25e14f7196c17b14c2c39dc7
Autor:
Abdulaziz Almaslukh, Abdulmajeed Alameer, Hamad Alsaleh, Fahad Alkadyan, Nasser Allheeib, Abdulaziz Alhadlag, Yazeed Alabdulkarim
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract Effective dataset management is crucial for enterprises to make informed decisions and remain competitive. However, centralized dataset management approaches often result in poor scalability, unclear governance, inaccessible data silos, and
Externí odkaz:
https://doaj.org/article/fcdd9eb6be324651b4cda477c6d7daf8
Publikováno v:
IEEE Access, Vol 12, Pp 88841-88861 (2024)
Automated Human Activity Recognition (HAR) stems from the requirement to seamlessly integrate technology into daily life, to enhance user experience, improve healthcare, provide improved operations, ensure safety, deliver data-driven insights, and ad
Externí odkaz:
https://doaj.org/article/249f188a4c544fcd938c9dbf4143236f
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 5, p 180 (2023)
The public transport system plays an important role in a city as it moves people from one place to another efficiently and economically. The public transport network must be organized in a way that will cover as many places and as much of the populat
Externí odkaz:
https://doaj.org/article/fc1ea28eb4a9468eb4f093f6c7287000
Autor:
Md. Nazmul Islam, Md. Golam Rabiul Alam, Tasnim Sakib Apon, Md. Zia Uddin, Nasser Allheeib, Alaa Menshawi, Mohammad Mehedi Hassan
Publikováno v:
Healthcare, Vol 11, Iss 3, p 410 (2023)
The coronavirus epidemic has spread to virtually every country on the globe, inflicting enormous health, financial, and emotional devastation, as well as the collapse of healthcare systems in some countries. Any automated COVID detection system that
Externí odkaz:
https://doaj.org/article/ee588eac2a5f42a28afc94cb08f79a67
Publikováno v:
Sensors, Vol 23, Iss 3, p 1392 (2023)
The early, valid prediction of heart problems would minimize life threats and save lives, while lack of prediction and false diagnosis can be fatal. Addressing a single dataset alone to build a machine learning model for the identification of heart p
Externí odkaz:
https://doaj.org/article/865312d4808240c4a9158266f950abf3
Publikováno v:
IEEE Access, Vol 8, Pp 50285-50298 (2020)
The peer-to-peer (P2P) paradigm has become very popular for storing and sharing information. In most P2P systems, peers are connected by means of a limited range of uniform networks, leading to issues when some connected peers are isolated from the o
Externí odkaz:
https://doaj.org/article/e61571690bde48d0abacf79843cba789
Publikováno v:
International Journal of Data Warehousing and Mining. 19:1-20
Identifying the places an infected person has visited during a virus incubation time in order to conduct contact tracing is currently done using manual interviews since proximity-based contact tracing methods do not store geolocation information due
Autor:
Manar Ahmed Hamza, Hala J. Alshahrani, Abdulkhaleq Q. A. Hassan, Abdulbaset Gaddah, Nasser Allheeib, Suleiman Ali Alsaif, Badriyya B. Al-onazi, Heba Mohsen
Publikováno v:
Computers, Materials & Continua. 75:4137-4154
Autor:
Mesfer Al Duhayyim, Fatma S. Alrayes, Saud S. Alotaibi, Sana Alazwari, Nasser Allheeib, Ayman Yafoz, Raed Alsini, Amira Sayed A. Aziz
Publikováno v:
Computer Systems Science and Engineering. 46:3209-3223