Zobrazeno 1 - 10
of 151
pro vyhledávání: '"Sultan Noman Qasem"'
Autor:
Shahab S. Band, Sultan Noman Qasem, Rasoul Ameri, Hao-Ting Pai, Brij B. Gupta, Saeid Mehdizadeh, Amir Mosavi
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 613-625 (2024)
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation (SR) estimates are therefore needed in solar energy applications. Firstly, two deep learning models, including gated recurrent unit (GRU) and long short-term memo
Externí odkaz:
https://doaj.org/article/2ea6dbc20cfe4d13942d4dac4840641f
Autor:
Shuguang Li, Sultan Noman Qasem, Hojat Karami, Ely Salwana, Alireza Rezaei, Danyal Shahmirzadi, Shahab S. Band
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Vortex flow characteristics in a reservoir and horizontal water intake have been predicted by using regression models in this numerical research. In this paper, three standalone machine learning models – Random Forest (RF), K-nearest neighbours (KN
Externí odkaz:
https://doaj.org/article/7ced0a45cccb4d4ead602bf39eb52ccd
Autor:
Shuguang Li, Sultan Noman Qasem, Shahab S. Band, Rasoul Ameri, Hao-Ting Pai, Saeid Mehdizadeh
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
ABSTRACTMonitoring the quality of river water is of fundamental importance and needs to be taken into consideration when it comes to the research into the hydrological field. In this context, the concentration of the dissolved oxygen (DO) is one of t
Externí odkaz:
https://doaj.org/article/6d30f29819774b80b04b1067af99c549
Autor:
Mujeeb Ur Rehman, Arslan Shafique, Kashif Hesham Khan, Saad Nasser Altamimi, Sultan Noman Qasem, Mohammed Al-Sarem
Publikováno v:
IEEE Access, Vol 12, Pp 17926-17944 (2024)
In the era of big data, protecting digital images from cyberattacks during network transmission is of utmost importance. While various image encryption algorithms have been developed, some remain vulnerable to specific cyber threats. This paper prese
Externí odkaz:
https://doaj.org/article/0c586bb468e14435bc4fea1b43a75186
Autor:
Sultan Noman Qasem
Publikováno v:
Computers, Vol 13, Iss 9, p 217 (2024)
The Gram-negative bacterium Helicobacter pylori (H. infection) infects the human stomach and is a major cause of gastritis, peptic ulcers, and gastric cancer. With over 50% of the global population affected, early and accurate diagnosis of H. infecti
Externí odkaz:
https://doaj.org/article/9c2772beb9a04f02a3ed7dcd5a67af37
Publikováno v:
PeerJ Computer Science, Vol 10, p e1976 (2024)
This article explores the application of deep learning techniques for sentiment analysis of patients’ drug reviews. The main focus is to evaluate the effectiveness of bidirectional long-short-term memory (LSTM) and a hybrid model (bidirectional LST
Externí odkaz:
https://doaj.org/article/15380fccc1b743209efe7ab5c0a2b7c3
Publikováno v:
Bioengineering, Vol 11, Iss 7, p 672 (2024)
Stroke poses a significant health threat, affecting millions annually. Early and precise prediction is crucial to providing effective preventive healthcare interventions. This study applied an ensemble machine learning and data mining approach to enh
Externí odkaz:
https://doaj.org/article/2fdc12cebf1241e28d9883216b5e0e28
Publikováno v:
PeerJ Computer Science, Vol 10, p e1759 (2024)
This article introduces a prototype laser communication system integrated with uncrewed aerial vehicles (UAVs), aimed at enhancing data connectivity in remote healthcare applications. Traditional radio frequency systems are limited by their range and
Externí odkaz:
https://doaj.org/article/cd45950ded404a9e9064bc31f1ae778e
Publikováno v:
PeerJ Computer Science, Vol 10, p e1792 (2024)
This article introduces the Social-Emotional Nurturing and Skill Enhancement System (SENSES-ASD) as an innovative method for assisting individuals with autism spectrum disorder (ASD). Leveraging deep learning technologies, specifically convolutional
Externí odkaz:
https://doaj.org/article/5f6c0a2a5cf247fcaa09522a07f6428a
Autor:
Muhammad Hassan Jamal, Naila Naz, Muazzam A. Khan Khattak, Faisal Saeed, Saad Nasser Altamimi, Sultan Noman Qasem
Publikováno v:
IEEE Access, Vol 11, Pp 127446-127457 (2023)
The increasing dependence on data analytics and artificial intelligence (AI) methodologies across various domains has prompted the emergence of apprehensions over data security and integrity. There exists a consensus among scholars and experts that t
Externí odkaz:
https://doaj.org/article/018c455fcb124ff5880c0e57de34fdbb