Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Ghada Atteia"'
Autor:
Reem Alkanhel, Ghada Atteia, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna, Daljeet Singh, Ahmed Aziz, Ammar Muthanna
Publikováno v:
IEEE Access, Vol 12, Pp 152045-152057 (2024)
The emergence of Industrial Internet of Things (IIoT) networks has sparked a demand for reliable and efficient communication systems. One promising strategy to overcome interference and coverage issues in IIoT setups is leveraging massive multiple-in
Externí odkaz:
https://doaj.org/article/ea06422f73a44fc595ec3866ed85d234
Deep transfer learning with gravitational search algorithm for enhanced plant disease classification
Autor:
Mehdhar S.A.M. Al-Gaashani, Nagwan Abdel Samee, Reem Alkanhel, Ghada Atteia, Hanaa A. Abdallah, Asadulla Ashurov, Mohammed Saleh Ali Muthanna
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28967- (2024)
Plant diseases annually cause damage and loss of much of the crop, if not its complete destruction, and this constitutes a significant challenge for farm owners, governments, and consumers alike. Therefore, identifying and classifying diseases at an
Externí odkaz:
https://doaj.org/article/c86fd432964e495c9a74e6c8752b806a
Publikováno v:
Mathematics, Vol 12, Iss 12, p 1799 (2024)
Intrusion Detection Systems (IDSs) play a crucial role in safeguarding network infrastructures from cyber threats and ensuring the integrity of highly sensitive data. Conventional IDS technologies, although successful in achieving high levels of accu
Externí odkaz:
https://doaj.org/article/53c45b9fbeab456cb79be52c281aec14
Publikováno v:
PeerJ Computer Science, Vol 10, p e1756 (2024)
The telecom sector is currently undergoing a digital transformation by integrating artificial intelligence (AI) and Internet of Things (IoT) technologies. Customer retention in this context relies on the application of autonomous AI methods for analy
Externí odkaz:
https://doaj.org/article/cae10d15f9aa40aebab87aec77a7685e
Autor:
S. Muhammad Ahmed Hassan Shah, Syed Faizan Hussain Shah, Asad Ullah, Atif Rizwan, Ghada Atteia, Maali Alabdulhafith
Publikováno v:
IEEE Access, Vol 11, Pp 67865-67881 (2023)
Text classification is a common task in natural language processing (NLP), where the objective is to assign predefined categories or labels to a given text. Detecting sarcasm and classifying sentiment and dialect in NLP has practical applications, in
Externí odkaz:
https://doaj.org/article/b484c968811b46ae9b4e8828fc1afe9d
Publikováno v:
Land, Vol 12, Iss 10, p 1861 (2023)
Soil moisture plays a crucial role in various environmental processes and is essential for agricultural management, hydrological modeling, and climate studies. Synthetic Aperture Radar (SAR) remote sensing presents significant potential for estimatin
Externí odkaz:
https://doaj.org/article/b9661388f6b54fae8995aea2c47ae728
Publikováno v:
IEEE Access, Vol 10, Pp 97310-97326 (2022)
In information retrieval and text mining, document clustering is a big challenge because the amount of document collection has been increasing, day by day. The problem of clustering is NP-hard, use of meta-heuristic algorithms to solve these problems
Externí odkaz:
https://doaj.org/article/79e12d37954c44948ffb919f5743c9dd
Publikováno v:
Diagnostics, Vol 13, Iss 16, p 2672 (2023)
Acute lymphoblastic leukemia (ALL) is a lethal blood cancer that is characterized by an abnormal increased number of immature lymphocytes in the blood or bone marrow. For effective treatment of ALL, early assessment of the disease is essential. Manua
Externí odkaz:
https://doaj.org/article/08a3f5d39ab945d5a402087d8eba3c33
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1916 (2023)
Machine learning (ML) is a branch of artificial intelligence (AI) that has been successfully applied in a variety of remote sensing applications, including geophysical information retrieval such as soil moisture content (SMC). Deep learning (DL) is a
Externí odkaz:
https://doaj.org/article/a1d1edb39fe34ff6bfaa441a1135e415
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5569 (2022)
Predicting sea wave parameters such as significant wave height (SWH) has recently been identified as a critical requirement for maritime security and economy. Earth observation satellite missions have resulted in a massive rise in marine data volume
Externí odkaz:
https://doaj.org/article/c6910e5d7a33495eaa49b6bef7cc696a