Zobrazeno 1 - 10
of 1 078
pro vyhledávání: '"Byung-Won On"'
Publikováno v:
IEEE Access, Vol 11, Pp 146065-146075 (2023)
Nowadays, pre-trained sequence-to-sequence models such as PEGASUS and BART have shown state-of-the-art results in abstractive summarization. In these models, during fine-tuning, the encoder transforms sentences to context vectors in the latent space
Externí odkaz:
https://doaj.org/article/860e5b4c2f5b417d94980ec5af82e785
Publikováno v:
IEEE Access, Vol 10, Pp 107361-107375 (2022)
Video description is one of the most challenging task in the combined domain of computer vision and natural language processing. Captions for various open and constrained domain videos have been generated in the recent past but descriptions for drivi
Externí odkaz:
https://doaj.org/article/74196cb356ad4e4781ccc90175ee74c6
Publikováno v:
IEEE Access, Vol 9, Pp 85240-85254 (2021)
The current deep learning models detecting relevant web pages show low accuracy because of the poor quality of the training data. In this paper, we propose a novel algorithm to automatically generate high-quality training data based on the frequency
Externí odkaz:
https://doaj.org/article/fba0dcfad7c7436e978539ce34a73a80
Autor:
Saima Sadiq, Muhammad Usman Khalid, Mui-Zzud-Din, Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On
Publikováno v:
IEEE Access, Vol 9, Pp 45528-45538 (2021)
Thalassemia is viewed as a prevalent inherited blood disease that has gotten exorbitant consideration in the field of medical research around the world. Inherited diseases have a high risk that children will get these diseases from their parents. If
Externí odkaz:
https://doaj.org/article/76bcbdfedf36471e965aa7fa122943ec
Autor:
Hafiz Muhammad Raza Ur Rehman, Byung-Won On, Devarani Devi Ningombam, Sungwon Yi, Gyu Sang Choi
Publikováno v:
IEEE Access, Vol 9, Pp 129728-129741 (2021)
When individuals interact with one another to accomplish specific goals, they learn from others’ experiences to achieve the tasks at hand. The same holds for learning in virtual environments, such as video games. Deep multiagent reinforcement learn
Externí odkaz:
https://doaj.org/article/68f0b78038fa4f6abfdf228735c49cfa
Publikováno v:
IEEE Access, Vol 9, Pp 161208-161223 (2021)
In traditional web crawling, all web pages crawled are first stored to databases. As a result, this approach can store unnecessary web pages and requires additional running time for the construction of a sentiment dictionary in a particular domain be
Externí odkaz:
https://doaj.org/article/90e4d5c593df490bb6fb3fc709afa24a
Autor:
Furqan Rustam, Aijaz Ahmad Reshi, Arif Mehmood, Saleem Ullah, Byung-Won On, Waqar Aslam, Gyu Sang Choi
Publikováno v:
IEEE Access, Vol 8, Pp 101489-101499 (2020)
Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ML models have long been used in many application domains wh
Externí odkaz:
https://doaj.org/article/0a6ee3493bba4d4ab21d453fba30ab1b
Publikováno v:
IEEE Access, Vol 8, Pp 156695-156706 (2020)
Society and individuals are negatively influenced both politically and socially by the widespread increase of fake news either way generated by humans or machines. In the era of social networks, the quick rotation of news makes it challenging to eval
Externí odkaz:
https://doaj.org/article/61bae30e90604c9eb4434ffbc4212e14
In social network service platforms, crime suspects are likely to use cybercrime coded words for communication by adding criminal meanings to existing words or replacing them with similar words. For instance, the word 'ice' is often used to mean meth
Externí odkaz:
http://arxiv.org/abs/2403.10838
Publikováno v:
Sensors, Vol 21, Iss 23, p 8106 (2021)
The Internet of Things (IoT) is expected to provide intelligent services by receiving heterogeneous data from ambient sensors. A mobile device employs a sensor registry system (SRS) to present metadata from ambient sensors, then connects directly for
Externí odkaz:
https://doaj.org/article/36418aa9d36442de9ac65303cadf027e