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pro vyhledávání: '"Sangwoo Kang"'
Autor:
Sangwoo Kang, Won-Kwang Park
Publikováno v:
AIMS Mathematics, Vol 8, Iss 11, Pp 27080-27112 (2023)
In this paper, we consider the application of the bifocusing method (BFM) for a fast identification of two-dimensional circle-like small inhomogeneities from measured scattered field data. Based on the asymptotic expansion formula for the scattered f
Externí odkaz:
https://doaj.org/article/f4480bbaf57846ea87da8610ca4829a2
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
Publikováno v:
Mathematics, Vol 12, Iss 4, p 521 (2024)
Fine-tuning a pre-trained sequence-to-sequence-based language model has significantly advanced the field of abstractive summarization. However, the early models of abstractive summarization were limited by the gap between training and inference, and
Externí odkaz:
https://doaj.org/article/7fe50d8f4d594c4eacd90eda9690e058
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 11, Iss 21, p 4479 (2023)
Recent advancements in deep learning have led to various challenges, one of which is the issue of data privacy in training data. To address this issue, federated learning, a technique that merges models trained by clients on servers, has emerged as a
Externí odkaz:
https://doaj.org/article/8b526a7376044a88bc80d885df0dde07
Publikováno v:
Sensors, Vol 23, Iss 18, p 7875 (2023)
With the development of multimedia systems in wireless environments, the rising need for artificial intelligence is to design a system that can properly communicate with humans with a comprehensive understanding of various types of information in a h
Externí odkaz:
https://doaj.org/article/b87cb19998c944e79081344f9be209d8
Autor:
Yoonseok Heo, Sangwoo Kang
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3751 (2023)
A rapidly expanding multimedia environment in recent years has led to an explosive increase in demand for multimodality that can communicate with humans in various ways. Even though the convergence of vision and language intelligence has shed light o
Externí odkaz:
https://doaj.org/article/cd331833140f453f98131c271f6172fa
Publikováno v:
Mathematics, Vol 11, Iss 14, p 3048 (2023)
The use of Transformer-based pre-trained language models has become prevalent in enhancing the performance of task-oriented dialogue systems. These models, which are pre-trained on large text data to grasp the language syntax and semantics, fine-tune
Externí odkaz:
https://doaj.org/article/3811795daa1c43bcaacfb658268191d1