Zobrazeno 1 - 10
of 609
pro vyhledávání: '"split attention"'
Autor:
Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-34 (2024)
Abstract Predicting stock market behavior using sentiment analysis has become increasingly popular, as customer responses on platforms like Twitter can influence market trends. However, most existing sentiment-based models struggle with two major iss
Externí odkaz:
https://doaj.org/article/a539dbbbb4014f479a44f9438944d1bb
Autor:
Yingwei Tan, Xuefeng Ding
Publikováno v:
IEEE Access, Vol 12, Pp 156673-156682 (2024)
In recent years, attention-based voice activity detection systems have become popular, attributed to their ability to encapsulate a diverse array of contextual information. The integration of multi-head attention and position embedding within the att
Externí odkaz:
https://doaj.org/article/9241216e1fe44efcbb0abfd43e21d8e2
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1395-1417 (2023)
Geodashboards are often designed with explanatory elements guiding users. These elements (e.g. legends or annotations) need to be carefully designed to mitigate split attention or information integration issues. In this paper, we report expert interv
Externí odkaz:
https://doaj.org/article/85a62ab1d51e419581133dabc1b09ce6
Autor:
John Guzmán, Jimmy Zambrano R.
Publikováno v:
Education Sciences, Vol 14, Iss 9, p 1035 (2024)
School tasks often include individual and collaborative activities supported by a wide variety of learning materials. These materials can elicit varied levels of attention and learning depending on the complexity (i.e., element interactivity level) a
Externí odkaz:
https://doaj.org/article/c94f3fae8c844e1da6e71a8730070273
Research on Improved Road Visual Navigation Recognition Method Based on DeepLabV3+ in Pitaya Orchard
Publikováno v:
Agronomy, Vol 14, Iss 6, p 1119 (2024)
Traditional DeepLabV3+ image semantic segmentation methods face challenges in pitaya orchard environments characterized by multiple interference factors, complex image backgrounds, high computational complexity, and extensive memory consumption. This
Externí odkaz:
https://doaj.org/article/af42a5cb337c4517af6f2d567af4eb7e
Publikováno v:
IEEE Access, Vol 11, Pp 38875-38893 (2023)
In an actual engineering environment, some rotating machines are usually in normal operation, but their time in a fault state is very short, which leads to a serious imbalance in the fault diagnosis datasets for rotating machinery, and gives the trad
Externí odkaz:
https://doaj.org/article/e474531ad49b4145b7e27680fad8f1b2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 419-430 (2023)
In the past few years, many convolutional neural networks (CNNs) have been applied to hyperspectral image (HSI) classification. However, many of them have the following drawbacks: they do not fully consider the abundant band spectral information and
Externí odkaz:
https://doaj.org/article/cb43ff98c69d426098835040d4c374ec
Autor:
PAN Yi, WANG Li-ping
Publikováno v:
Jisuanji kexue, Vol 49, Iss 10, Pp 198-206 (2022)
Recently,most object detection algorithms based on convolutional neural network have the problems of lacking of reasonable use of meaningful contextual information and are easy to miss the detection of hard targets.In order to solve these problems,th
Externí odkaz:
https://doaj.org/article/56d0d81412f149aea44d192041dd5059
Autor:
Björn B. de Koning
Publikováno v:
Education Sciences, Vol 14, Iss 3, p 284 (2024)
The self-management principle holds that higher learning performance is obtained when learners actively use instructional strategies to manage the working memory load imposed by a learning task. Self-management studies with spatially separated but mu
Externí odkaz:
https://doaj.org/article/a622ce7eb8fe4fd288c4cdfcac8b5685
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.