Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Laith H. Baniata"'
Autor:
Mohammad A. Alsharaiah, Mosleh Abualhaj, Laith H. Baniata, Adeeb Al-saaidah, Qasem M. Kharma, Mahran M Al-Zyoud
Publikováno v:
International Journal of Data and Network Science, Vol 8, Iss 2, Pp 709-722 (2024)
With the increasing prevalence of network intrusions, the development of effective network intrusion detection systems (NIDS) has become crucial. In this study, we propose a novel NIDS approach that combines the power of long short-term memory (LSTM)
Externí odkaz:
https://doaj.org/article/db8cc65438e248b4a49fbe37319a05af
Autor:
Laith H. Baniata, Sangwoo Kang
Publikováno v:
Mathematics, Vol 12, Iss 6, p 865 (2024)
Transformer models have emerged as frontrunners in the field of natural language processing, primarily due to their adept use of self-attention mechanisms to grasp the semantic linkages between words in sequences. Despite their strengths, these model
Externí odkaz:
https://doaj.org/article/e7bc1bc83f154c18b5f1b06af7d6727d
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 1963 (2024)
Educational institutions are increasingly focused on supporting students who may be facing academic challenges, aiming to enhance their educational outcomes through targeted interventions. Within this framework, leveraging advanced deep learning tech
Externí odkaz:
https://doaj.org/article/cf9b5a6016504a288f9522b4ac31cedd
Autor:
Mohammad A. Alsharaiah, Ahmad Adel Abu-Shareha, Mosleh Abualha, Laith H. Baniata, Omar Adwan, Adeeb Al-saaidah, Majdi Oraiqat
Publikováno v:
International Journal of Data and Network Science, Vol 7, Iss 2, Pp 857-864 (2023)
Phishing websites are characterized by distinguished visual, address, domain, and embedded features, which identify and defend such threats. Yet, phishing website detection is challenged by overlapping these features with legitimate websites’ featu
Externí odkaz:
https://doaj.org/article/c43bac4f7f974357a1b7df87337d2a45
Autor:
Laith H. Baniata, Sangwoo Kang
Publikováno v:
Mathematics, Vol 12, Iss 2, p 242 (2024)
In recent years, models such as the transformer have demonstrated impressive capabilities in the realm of natural language processing. However, these models are known for their complexity and the substantial training they require. Furthermore, the se
Externí odkaz:
https://doaj.org/article/0d48dabbdc3e4d729525e31680be2908
Autor:
Laith H. Baniata, Sangwoo Kang
Publikováno v:
Mathematics, Vol 11, Iss 24, p 4960 (2023)
In the realm of the five-category classification endeavor, there has been limited exploration of applied techniques for classifying Arabic text. These methods have primarily leaned on single-task learning, incorporating manually crafted features that
Externí odkaz:
https://doaj.org/article/84d3869face4433e80036fd3f28d23a0
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3666 (2022)
Languages with a grammatical structure that have a free order for words, such as Arabic dialects, are considered a challenge for neural machine translation (NMT) models because of the attached suffixes, affixes, and out-of-vocabulary words. This pape
Externí odkaz:
https://doaj.org/article/b90b64d187cc48e9b00eae0cd1e98c46
A Transformer-Based Neural Machine Translation Model for Arabic Dialects That Utilizes Subword Units
Publikováno v:
Sensors, Vol 21, Iss 19, p 6509 (2021)
Languages that allow free word order, such as Arabic dialects, are of significant difficulty for neural machine translation (NMT) because of many scarce words and the inefficiency of NMT systems to translate these words. Unknown Word (UNK) tokens rep
Externí odkaz:
https://doaj.org/article/2db59e03f40d453ab3adda823baa4b24
Publikováno v:
Applied Sciences, Vol 8, Iss 12, p 2502 (2018)
The statistical machine translation for the Arabic language integrates external linguistic resources such as part-of-speech tags. The current research presents a Bidirectional Long Short-Term Memory (Bi-LSTM)—Conditional Random Fields (CRF) segment
Externí odkaz:
https://doaj.org/article/6be72491772a43e799c47ae8611a6e50
Autor:
Mohammad A. Alsharaiah, Laith H. Baniata, Omar Al Adwan, Orieb Abu Alghanam, Ahmad Adel Abu-Shareha, Laith Alzboon, Nedal Mustafa, Mohammad Baniata
Publikováno v:
International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 32-51
Organism network systems provide a biological data with high complex level. Besides, these data reflect the complex activities in organisms that identifies nonlinear behavior as well. Hence, mathematical modelling methods such as Ordinary Differentia