3D convolution network and Siamese-attention mechanism for expression recognition
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07860-2
Abstract: Researches on Expression recognition focus on common subject-independent task, while cross-database evaluation is rare and lack of universal protocol. The key challenge for both tasks is to extract features that effectively describe the pattern of… read more here.
Keywords: convolution network; expression recognition; network; attention mechanism ... See more keywords
A deep learning method based on an attention mechanism for wireless network traffic prediction
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102258
Abstract: Abstract With the rapid development of wireless networks, the self-management and active adjustment capabilities of base stations have become crucial. The accurate prediction of wireless network traffic is an important prerequisite for intelligent base stations.… read more here.
Keywords: traffic; network; attention mechanism; wireless network ... See more keywords
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103707
Abstract: Taking multiple drugs at the same time can increase or decrease each drug's effectiveness or cause side effects. These drug-drug interactions (DDIs) may lead to an increase in the cost of medical care or even… read more here.
Keywords: drug; extraction; drug drug; attention mechanism ... See more keywords
A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.109049
Abstract: Abstract This study proposed a fault diagnosis method based on deep learning and attention mechanism for autonomous underwater vehicle (AUV). Firstly, a data attention mechanism is proposed to introduce dynamic weighting coefficients of monitoring variables… read more here.
Keywords: attention mechanism; fault diagnosis; method; fault ... See more keywords
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01112
Abstract: Many computational methods have been proposed to predict drug-drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features of drugs, which is inadequate for drug representation.… read more here.
Keywords: attention mechanism; mechanism based; drug drug; attention ... See more keywords
Enhancing tunnel crack detection with linear seam using mixed stride convolution and attention mechanism
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65909-1
Abstract: Cracks in tunnel lining structures constitute a common and serious problem that jeopardizes the safety of traffic and the durability of the tunnel. The similarity between lining seams and cracks in terms of strength and… read more here.
Keywords: tunnel lining; convolution; attention mechanism; crack ... See more keywords
A multimodal fusion network based on a cross-attention mechanism for the classification of Parkinsonian tremor and essential tremor
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79111-w
Abstract: Parkinsonian tremor (PT) and Essential tremor (ET) exist as upper limb tremors in clinical practice. Notably, their types of trembling share similar presentations and overlapping frequencies. To enhance objectivity and efficiency in the diagnosis of… read more here.
Keywords: classification; cross attention; tremor; attention mechanism ... See more keywords
A deep learning based intrusion detection system for CAN vehicle based on combination of triple attention mechanism and GGO algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-04720-y
Abstract: Recently, with the growth of electronic cars and the advancement of modern vehicles using portable equipment and embedded systems, several in-vehicle networks like the CAN (Controller Area Network) encountered novel risks of security. Because the… read more here.
Keywords: system; vehicle; intrusion detection; intrusion ... See more keywords
Enhanced diagnosis of planetary gear train faults based on bispectrum and attention mechanism deep convolutional generative adversarial networks
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DOI: 10.1038/s41598-025-06623-4
Abstract: Aiming at the problem of inaccurate fault diagnosis caused by limited fault samples and challenging feature extraction in helicopter planetary gear trains, this study proposes a fault diagnosis method based on Bispectrum and Attention Mechanism… read more here.
Keywords: diagnosis; planetary gear; attention mechanism; mechanism deep ... See more keywords
A two stage multi object tracking algorithm with transformer and attention mechanism
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DOI: 10.1038/s41598-025-16389-4
Abstract: In the field of engineering safety, multi-object tracking encounters difficulties in effectively conducting object detection due to occlusion, as well as the issue of experiencing frequent switching of target identity ID switches (IDs). In response… read more here.
Keywords: stage; object tracking; attention mechanism; multi object ... See more keywords
A model for epileptic EEG detection and recognition based on Multi-Attention mechanism and Spatiotemporal
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-17256-y
Abstract: In the field of neuroscience, epilepsy is a chronic non-communicable brain disease that affects approximately 50 million people worldwide. Electroencephalography (EEG) has become a key tool in detecting and characterizing human neurological diseases such as… read more here.
Keywords: detection; recognition; attention; attention mechanism ... See more keywords