Zobrazeno 1 - 10
of 695
pro vyhledávání: '"Bidirectional encoder representations from transformers"'
Autor:
Linshu Wang, Yuan Zhou
Publikováno v:
RNA Biology, Vol 21, Iss 1, Pp 1-10 (2024)
ABSTRACTRNA modifications play crucial roles in various biological processes and diseases. Accurate prediction of RNA modification sites is essential for understanding their functions. In this study, we propose a hybrid approach that fuses a pre-trai
Externí odkaz:
https://doaj.org/article/c3dd1a60abc44e19bf761e27f0ebdbb5
Publikováno v:
Alexandria Engineering Journal, Vol 111, Iss , Pp 540-554 (2025)
Social media platforms, such as Facebook and X (formally known as Twitter), have become indispensable tools in today's society because they facilitate social discussion and information sharing. This feature makes social networks more attractive for s
Externí odkaz:
https://doaj.org/article/5a7ae3bf0aa24c90844d6d1836fbca23
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-27 (2024)
Abstract Efficiently treating cardiac patients before the onset of a heart attack relies on the precise prediction of heart disease. Identifying and detecting the risk factors for heart disease such as diabetes mellitus, Coronary Artery Disease (CAD)
Externí odkaz:
https://doaj.org/article/5bbe9433fe8b441db9a0fcb0dd504179
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 1, Pp 56-63 (2024)
During a hospital visit, a significant volume of Gastroscopy Diagnostic Text (GDT) data are produced, representing the unstructured gastric medical records of patients undergoing gastroscopy. As such, GDTs play a crucial role in evaluating the patien
Externí odkaz:
https://doaj.org/article/711af7824d9545b7aae2f9f4149e0a89
Publikováno v:
IEEE Access, Vol 12, Pp 164491-164502 (2024)
News serves as a vital source of information for staying updated on various aspects of life worldwide. However, massive volume of information available on social media platforms makes it challenging to extract meaningful insights. Additionally, dispe
Externí odkaz:
https://doaj.org/article/c5e046f1d9204eee97cf71c897c6c331
Publikováno v:
IEEE Access, Vol 12, Pp 137618-137633 (2024)
Intrusion detection systems (IDS) stand as formidable guardians in network security, playing a pivotal role in identifying and mitigating potential threats. As our digital landscape evolves, the imperative for robust intrusion detection mechanisms gr
Externí odkaz:
https://doaj.org/article/5d18f669bb394a61990b72dc233c6eb3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11809-11822 (2024)
Robustness in remote sensing image captioning is crucial for real-world applications. However, most of the research focuses on improving the performance of single captioning algorithms, either by introducing novel feature processing units or metatask
Externí odkaz:
https://doaj.org/article/b9ade1c915ec4d50ae42b5c3d70a4d74
Publikováno v:
IEEE Access, Vol 12, Pp 46851-46863 (2024)
Recently the efficiency of neural information retrieval (IR) models has been significantly improved. However, there are technical challenges such as the data bottleneck problem. In real-world scenarios, only documents without related queries are avai
Externí odkaz:
https://doaj.org/article/ebe67daf5f2f4d338a88580f2e8df504
Publikováno v:
IEEE Access, Vol 12, Pp 20064-20090 (2024)
Recently, the emergence of social media has opened the way for online harassment in the form of hate speech and offensive language. An automated approach is needed to detect hate and offensive content from social media, which is indispensable. This t
Externí odkaz:
https://doaj.org/article/1f85245548bd4958831f4aeed6ae1e12
Publikováno v:
IEEE Access, Vol 12, Pp 4225-4238 (2024)
Customers share their opinions about a product through online reviews. Companies incorporate customer opinions into product design to increase customer satisfaction and market success. Many studies have attempted to analyze customer opinions on speci
Externí odkaz:
https://doaj.org/article/fd570ba791df4e919fee29bd2bfe3c4f