A novel hybrid forecasting approach for NOx emission of coal‐fired boiler combined with CEEMDAN and self‐attention improved by LSTM
Sign Up to like & getrecommendations! Published in 2024 at "Asia-Pacific Journal of Chemical Engineering"
DOI: 10.1002/apj.3057
Abstract: The precise prediction of NOx generation concentration in coal‐fired boilers serves as the foundational cornerstone for the judicious optimization and control of selective catalytic reduction denitrification (SCR) systems. Owing to the intricate nature of the… read more here.
Keywords: coal fired; coal; self attention; nox emission ... See more keywords
DSA: Deep Self‐Attention Medical Transformer Neuro‐Technology for Brain Tumor Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.70109
Abstract: Transformer‐based methods have shown remarkable outcomes in medical image segmentation tasks. Specifically, the Swin Transformer has proven to be an impressive approach for segmentation jobs, demonstrating its potential to further the discipline. Extensive research on… read more here.
Keywords: tumor segmentation; segmentation; tumor; transformer ... See more keywords
Nested-block self-attention multiple resolution residual network for multi-organ segmentation from CT.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15765
Abstract: BACKGROUND Fast and accurate multi-organs segmentation from CT scans is essential for radiation treatment planning. Self-attention based deep learning methodologies provide higher accuracies than standard methods but require memory and computationally intensive calculations, which restricts… read more here.
Keywords: self attention; multi organ; attention; nested block ... See more keywords
SARU: A self attention ResUnet to generate synthetic CT images for MR-only BNCT treatment planning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15986
Abstract: BACKGROUND Despite the significant physical differences between MRI and CT, the high entropy of MRI data indicates the existence of a surjective transformation from MRI to CT image. However, there is no specific optimization of… read more here.
Keywords: network; self attention; treatment planning; treatment ... See more keywords
Profiling electric signals of electrogenic probiotic bacteria using self-attention analysis
Sign Up to like & getrecommendations! Published in 2025 at "Applied Microbiology and Biotechnology"
DOI: 10.1007/s00253-025-13425-1
Abstract: We fabricated a self-assembled electric circuit to detect the electrical signals produced by two electrogenic probiotic bacteria [Leuconostoc mesenteroides (L. mesenteroides) and Lactococcus lactis (L. lactis)] on chicken egg chorioallantoic membranes as well as in… read more here.
Keywords: probiotic bacteria; electrogenic probiotic; electrical signals; lactis ... See more keywords
Leveraging contextual embeddings and self-attention neural networks with bi-attention for sentiment analysis
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-021-00664-7
Abstract: People express their opinions and views in different and often ambiguous ways, hence the meaning of their words is often not explicitly stated and frequently depends on the context. Therefore, it is difficult for machines… read more here.
Keywords: contextual embeddings; self attention; sentiment; embeddings self ... See more keywords
DNN-based speech enhancement with self-attention on feature dimension
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09345-z
Abstract: To make full use of the key information in frame-level features, a DNN-based model for speech enhancement is proposed using self-attention on the feature dimension. Two improvement strategies are adopted to strengthen the attention of… read more here.
Keywords: information; feature; speech; self attention ... See more keywords
An explicit self-attention-based multimodality CNN in-loop filter for versatile video coding
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11214-2
Abstract: The newest video coding standard, versatile video coding (VVC), has just been published recently. While it greatly improves the performance over the last High Efficiency Video Coding (HEVC) standard, there are still blocking artifacts under… read more here.
Keywords: video; attention; video coding; self attention ... See more keywords
SaRPFF: A self-attention with register-based pyramid feature fusion module for enhanced rice leaf disease (RLD) detection
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-025-20696-3
Abstract: Detecting objects across varying scales is still a challenge in computer vision, particularly in agricultural applications like Rice Leaf Disease (RLD) detection, where objects exhibit significant scale variations (SV). Conventional object detection (OD) like Faster… read more here.
Keywords: detection; register; attention; pyramid feature ... See more keywords
Dual Attention with the Self-Attention Alignment for Efficient Video Super-resolution
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09874-1
Abstract: By selectively enhancing the features extracted from convolution networks, the attention mechanism has shown its effectiveness for low-level visual tasks, especially for image super-resolution (SR). However, due to the spatiotemporal continuity of video sequences, simply… read more here.
Keywords: video; attention; self attention; attention alignment ... See more keywords
Voice gender recognition under unconstrained environments using self-attention
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2020.107823
Abstract: Abstract Voice Gender Recognition is a non-trivial task that is extensively studied in the literature, however, when the voice gets surrounded by noises and unconstrained environments, the task becomes more challenging. This paper presents two… read more here.
Keywords: unconstrained environments; gender recognition; self attention; voice gender ... See more keywords