Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Mehrez, Marzougui"'
Autor:
Sidra Abbas, Gabriel Avelino Sampedro, Ahmad Almadhor, Mideth Abisado, Mehrez Marzougui, Tai-hoon Kim, Areej Alasiry
Publikováno v:
PeerJ Computer Science, Vol 10, p e2050 (2024)
The statewide consumer transportation demand model analyzes consumers’ transportation needs and preferences within a particular state. It involves collecting and analyzing data on travel behavior, such as trip purpose, mode choice, and travel patte
Externí odkaz:
https://doaj.org/article/e546db8f6ae14c6e926453063f07aa3e
Autor:
Hussain Mubarak Albarakati, Shams ur Rehman, Muhammad Attique Khan, Ameer Hamza, Junaid Aftab, Areej Alasiry, Mehrez Marzougui, Michele Nappi, Yunyoung Nam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14421-14436 (2024)
Land-use and land-cover (LULC) classification is an active research challenge in the area of remotely sensed satellite images due to critical applications, such as resource management and agriculture. Deep learning has recently shown a significant im
Externí odkaz:
https://doaj.org/article/347421aedeca45b09c3712842c014e4a
Autor:
Saddaf Rubab, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Oumaima Saidani, Amal Alshardan, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13135-13148 (2024)
Convolutional neural networks (CNNs), in particular, demonstrate the remarkable power of feature learning in remote sensing for land use and cover classification, as demonstrated by recent deep learning techniques driven by vast amounts of data. In t
Externí odkaz:
https://doaj.org/article/511e84e7561c43f9ae93821a62f33d7f
Autor:
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, Areej Alasiry, Mehrez Marzougui, Anum Masood
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3038-3052 (2024)
Diseases impact the rates of production of many agricultural goods. These diseases require detection, which is difficult to do manually. Therefore, the creation of some automated illness detection systems is urgently required. Deep learning showed si
Externí odkaz:
https://doaj.org/article/ae38fdfe1352471991f4ccdf75108130
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
In the field of medicine, decision support systems play a crucial role by harnessing cutting-edge technology and data analysis to assist doctors in disease diagnosis and treatment. Leukemia is a malignancy that emerges from the uncontrolled growth of
Externí odkaz:
https://doaj.org/article/22e1c841946b41d3b0c7cd60487fe494
Autor:
Stephen Ojo, Sidra Abbas, Mehrez Marzougui, Gabriel Avelino Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Iryna Ivanochko
Publikováno v:
IEEE Access, Vol 11, Pp 140451-140463 (2023)
The increasing demand for mobile phones has resulted in abundant online reviews, making it challenging for consumers to make informed purchasing decisions. In this study, we propose Graph Neural Network (GNN) models to classify mobile phone ratings u
Externí odkaz:
https://doaj.org/article/106cd242850f495393595d052c0280b7
Autor:
Shahzad Hassan, Saddaf Rubab, Salman Saadat, Syed Qasim Ali Gardezi, Muhammad Attique Khan, Areej Alasiry, Mehrez Marzougui, Anum Masood
Publikováno v:
IEEE Access, Vol 11, Pp 112223-112235 (2023)
The use of unlicensed frequency bands has gathered much interest recently to meet the bandwidth requirements of beyond 5G networks. However, the frequency overlap between radio technologies such as LTE-U, Wi-Fi, and ZigBee can cause severe interferen
Externí odkaz:
https://doaj.org/article/84e354025f434f739f4b833fb85e9008
Publikováno v:
Cancer Control, Vol 30 (2023)
Artificial Intelligence (AI) is the subject of a challenge and attention in the field of oncology and raises many promises for preventive diagnosis, but also fears, some of which are based on highly speculative visions for the classification and dete
Externí odkaz:
https://doaj.org/article/1dd39982b23e450c99b7646c216aba12
Autor:
Sobia Bibi, Muhammad Attique Khan, Jamal Hussain Shah, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3063 (2023)
Cancer is one of the leading significant causes of illness and chronic disease worldwide. Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising prevalence. The considerable death rate linked with melanoma requires
Externí odkaz:
https://doaj.org/article/339e5b069007425aad50c820eedd8072
Autor:
Muneezah Hussain, Muhammad Attique Khan, Robertas Damaševičius, Areej Alasiry, Mehrez Marzougui, Majed Alhaisoni, Anum Masood
Publikováno v:
Diagnostics, Vol 13, Iss 18, p 2869 (2023)
Background: Using artificial intelligence (AI) with the concept of a deep learning-based automated computer-aided diagnosis (CAD) system has shown improved performance for skin lesion classification. Although deep convolutional neural networks (DCNNs
Externí odkaz:
https://doaj.org/article/1ce74b9509b14bc497218c970205dee0