Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Nouf Abdullah Almujally"'
Autor:
Muhammad Sami Ullah, Muhammad Attique Khan, Nouf Abdullah Almujally, Majed Alhaisoni, Tallha Akram, Mohammad Shabaz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract A significant issue in computer-aided diagnosis (CAD) for medical applications is brain tumor classification. Radiologists could reliably detect tumors using machine learning algorithms without extensive surgery. However, a few important cha
Externí odkaz:
https://doaj.org/article/46675dc185ec43f2a8fded212bdc5c11
Autor:
Muhammad Hanzla, Muhammad Ovais Yusuf, Naif Al Mudawi, Touseef Sadiq, Nouf Abdullah Almujally, Hameedur Rahman, Abdulwahab Alazeb, Asaad Algarni
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionUnmanned aerial vehicles (UAVs) are widely used in various computer vision applications, especially in intelligent traffic monitoring, as they are agile and simplify operations while boosting efficiency. However, automating these procedur
Externí odkaz:
https://doaj.org/article/692860907e88468abc44dfcf012c5993
Autor:
Naif Al Mudawi, Mouazma Batool, Abdulwahab Alazeb, Yahay Alqahtani, Nouf Abdullah Almujally, Asaad Algarni, Ahmad Jalal, Hui Liu
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
IntroductionFalls are a major cause of accidents that can lead to serious injuries, especially among geriatric populations worldwide. Ensuring constant supervision in hospitals or smart environments while maintaining comfort and privacy is practicall
Externí odkaz:
https://doaj.org/article/a702263441374069adb369b4eaf12769
Autor:
Surjeet Dalal, Umesh Kumar Lilhore, Nidhi Sharma, Shakti Arora, Sarita Simaiya, Manel Ayadi, Nouf Abdullah Almujally, Amel Ksibi
Publikováno v:
PeerJ Computer Science, Vol 10, p e1939 (2024)
The use of closed-circuit television (CCTV) systems is widespread in all areas where serious safety concerns exist. Keeping an eye on things manually sounds like a time-consuming and challenging process. Identifying theft, detecting aggression, detec
Externí odkaz:
https://doaj.org/article/e8073a65af274440b2b4ec0796b31f5d
Autor:
Nouf Abdullah Almujally, Asifa Mehmood Qureshi, Abdulwahab Alazeb, Hameedur Rahman, Touseef Sadiq, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal
Publikováno v:
IEEE Access, Vol 12, Pp 88075-88085 (2024)
In the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role. Low brightness, low contrast, and noise are issues with low-light environment
Externí odkaz:
https://doaj.org/article/3b7b871509094e519e0aaeea2d51e30e
Autor:
Mazin Abed Mohammed, Abdullah Lakhan, Karrar Hameed Abdulkareem, Nouf Abdullah Almujally, Bourair AL-Attar, Sajida Memon, Haydar Abdulameer Marhoon, Radek Martinek
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11219-11229 (2024)
These days, the disease among different plants has been increasing day by day. It is a very hard task for government institutions and farmers to collect data on plant diseases from different distributed lands among regions. Therefore, data collection
Externí odkaz:
https://doaj.org/article/11f0a38ca75c4c848e2b2ec075c4e097
Autor:
Muhammad Ovais Yusuf, Muhammad Hanzla, Hameedur Rahman, Touseef Sadiq, Naif Al Mudawi, Nouf Abdullah Almujally, Asaad Algarni
Publikováno v:
IEEE Access, Vol 12, Pp 72896-72911 (2024)
Systems must be capable of detecting and tracking autonomous vehicles for intelligent management and control of transportation. Even though several methods are used to create intelligent systems for traffic monitoring, this article explains how to de
Externí odkaz:
https://doaj.org/article/ef9ef4ed2e87481289e80dbf1daa4736
Autor:
Abdulwahab Alazeb, Mouazma Batool, Naif Al Mudawi, Mohammed S. Alshehri, Sultan Almakdi, Nouf Abdullah Almujally, Asaad Algarni
Publikováno v:
IEEE Access, Vol 12, Pp 48686-48698 (2024)
Parkinson’s disease affects bodily functions and there is a growing need for advanced solutions to offer therapeutic advice to patients. A framework using artificial intelligence and machine learning techniques has been proposed to address this. Th
Externí odkaz:
https://doaj.org/article/3e18776de920460eb6a55652133f0f8b
Autor:
Aysha Naseer, Hamdan A. Alzahrani, Nouf Abdullah Almujally, Khaled Al Nowaiser, Naif Al Mudawi, Asaad Algarni, Jeongmin Park
Publikováno v:
IEEE Access, Vol 12, Pp 37165-37178 (2024)
Machines need to be able to recognize and understand complex visual surroundings to function at their best in a variety of contexts. Here, we address the difficult problem of multi-object recognition to obtain a sophisticated knowledge of complex vis
Externí odkaz:
https://doaj.org/article/ef95f62249a34589a3d825d8a3bc5fe5
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 4, Pp 1374-1390 (2023)
Abstract Currently, the improvement in AI is mainly related to deep learning techniques that are employed for the classification, identification, and quantification of patterns in clinical images. The deep learning models show more remarkable perform
Externí odkaz:
https://doaj.org/article/818bbcda07c94e42999edbe69df471e2