Enhanced IoT Security for DDOS Attack Detection: Split Attention-Based ResNeXt-GRU Ensembler Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3443067
Abstract: The rising Internet of Things (IoT) device count has caused security concerns among high-tech companies and groups, which has resulted in several evaluations. IoT’s pervasive, portable, and intelligent qualities make developing automated methods for spotting… read more here.
Keywords: detection; split attention; security; approach ... See more keywords
Spatial–Spectral Split Attention Residual Network for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3225928
Abstract: 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… read more here.
Keywords: classification; split attention; attention residual; attention ... See more keywords
Chasing Animals With Split Attention: Are Animals Prioritized in Visual Tracking?
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DOI: 10.1177/2041669518795932
Abstract: Some evolutionary psychologists have hypothesized that animals have priority in human attention. That is, they should be detected and selected more efficiently than other types of objects, especially man-made ones. Such a priority mechanism should… read more here.
Keywords: split attention; attention animals; attention; monitoring ... See more keywords
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Big Data"
DOI: 10.1186/s40537-024-01016-2
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 issues: inaccuracy and high… read more here.
Keywords: graph convolutional; attention network; split attention; convolutional split ... See more keywords
Best of Both Worlds? Combining Physical and Mental Self-Management Strategies to Support Learning from Split-Attention Examples
Sign Up to like & getrecommendations! Published in 2024 at "Education Sciences"
DOI: 10.3390/educsci14030284
Abstract: 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 mutually referring… read more here.
Keywords: self management; physical mental; split attention; attention examples ... See more keywords