Zobrazeno 1 - 10
of 1 207
pro vyhledávání: '"gated recurrent unit (GRU)"'
Publikováno v:
Emerging Science Journal, Vol 8, Iss 5, Pp 1875-1897 (2024)
According to the World Health Organization's (WHO) external situation report on the multi-country outbreak of Monkeypox in 2023, from 11 countries in Southeast Asia Regions, Thailand recorded the highest reported cases, totaling 461. The ongoing Monk
Externí odkaz:
https://doaj.org/article/9f7c11e10fa043a1ab82406c7e02f4b4
Publikováno v:
International Journal of Crowd Science, Vol 8, Iss 4, Pp 176-183 (2024)
Predicting financial market trends poses significant challenges due to the complex, dynamic, and often chaotic nature of the market, especially when dealing with data featuring a multitude of characteristics. In this research, we propose an effective
Externí odkaz:
https://doaj.org/article/2fbeed8aecb1422ba8ff8fa0a18f3bc6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract We present a new approach to classifying the sleep stage that incorporates a computationally inexpensive method based on permutations for channel selection and takes advantage of deep learning power, specifically the gated recurrent unit (GR
Externí odkaz:
https://doaj.org/article/0cd94a782d2443e3a19da1b2fde04ddb
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Epilepsy is one of the most well-known neurological disorders globally, leading to individuals experiencing sudden seizures and significantly impacting their quality of life. Hence, there is an urgent necessity for an efficient method to det
Externí odkaz:
https://doaj.org/article/ab13ec0db78f4a88abab91ceaf91369e
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103218- (2024)
The major objective of the present research is to inspect sentiment analysis models that have been trained on Twitter corpus by utilising the Large Language Model (LLM) gpt-3–5-turbo-16k version of the Generative Pretrained Transformer (GPT 3.5) mo
Externí odkaz:
https://doaj.org/article/cb7f80909de54a79b835bf5a6b101dd8
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 37, Iss 4 (2024)
Accurate prediction of activity location is a crucial component in various mobility applications and is particularly vital for the creation of customized, environmentally friendly transport systems. Next-location prediction, which entails predicting
Externí odkaz:
https://doaj.org/article/24a37b89ec544fe9883848aae740288e
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 6, Pp 2343-2351 (2024)
Accurately predicting the thermal hydraulic parameters of a transient reactor core under different working conditions is the first step toward reactor safety. Mass flow rate and temperature are important parameters of core thermal hydraulics, which h
Externí odkaz:
https://doaj.org/article/4f3e46c86cfd4b08b32d7e310c3d9201
Autor:
Sajjad Shumaly, Fahimeh Darvish, Xiaomei Li, Oleksandra Kukharenko, Werner Steffen, Yanhui Guo, Hans-Jürgen Butt, Rüdiger Berger
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract High speed side-view videos of sliding drops enable researchers to investigate drop dynamics and surface properties. However, understanding the physics of sliding requires knowledge of the drop width. A front-view perspective of the drop is
Externí odkaz:
https://doaj.org/article/565d052cd7c5485495a281d593dd69da
Publikováno v:
Urban Rail Transit, Vol 10, Iss 2, Pp 178-187 (2024)
Abstract Accurate forecasting of airport light rail transit line (ALRTL) outbound passenger flow is critical to the optimal operations of both light rail and airport systems. Considering the nonlinearity, non-stationarity, uncertainty, and periodicit
Externí odkaz:
https://doaj.org/article/2286e1b43a17456eba10a85fac4c86ce
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 4, Pp 453-468 (2024)
In the era of digital journalism, the classification of Arabic news presents a significant challenge due to the complex nature of the language and the vast diversity of content. This study introduces a novel multichannel deep learning model, CLGNet,
Externí odkaz:
https://doaj.org/article/4d53a06d03944230b44000b42915df8d