Transformer model based on Sonazoid contrast‐enhanced ultrasound for microvascular invasion prediction in hepatocellular carcinoma
Sign Up to like & getrecommendations! Published in 2025 at "Medical Physics"
DOI: 10.1002/mp.17895
Abstract: Microvascular invasion (MVI) is strongly associated with the prognosis of patients with hepatocellular carcinoma (HCC). read more here.
Keywords: transformer model; microvascular invasion; hepatocellular carcinoma; model based ... See more keywords
A transformer model for boundary detection in continuous sign language
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-024-19079-x
Abstract: Sign Language Recognition (SLR) has garnered significant attention from researchers in recent years, particularly the intricate domain of Continuous Sign Language Recognition (CSLR), which presents heightened complexity compared to Isolated Sign Language Recognition (ISLR). One… read more here.
Keywords: continuous sign; sign; transformer model; language ... See more keywords
OLTC transformer model connecting 3-wire MV with 4-wire multigrounded LV networks
Sign Up to like & getrecommendations! Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.107003
Abstract: Abstract This short communication presents a comprehensive model of on-load tap-changer (OLTC) transformers that connects 3-wire medium voltage (MV) with 4-wire multigrounded low voltage (LV) networks. The proposed model enables the inclusion of the 3-wire… read more here.
Keywords: oltc transformer; ybus matrix; model; transformer model ... See more keywords
Efficient fault diagnosis in rolling bearings lightweight hybrid model
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-96285-z
Abstract: To address the issue of low efficiency in feature extraction and model training when traditional deep learning methods handle long time-series data, this paper proposes a Time-Series Lightweight Transformer (TSL-Transformer) model. According to the data… read more here.
Keywords: transformer model; model; fault diagnosis;
Near-Infrared Spectroscopy-Based Maturity Classification of Wine Grapes Using the SG-SFLA-Transformer Model
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Fruit Science"
DOI: 10.1080/15538362.2025.2597254
Abstract: ABSTRACT A novel approach combining multiple preprocessing techniques, feature extraction algorithms, and a Transformer-based classification model was proposed to improve the classification accuracy of wine grape maturity. A total of 360 Cabernet Sauvignon samples were… read more here.
Keywords: classification; spectroscopy; maturity; transformer model ... See more keywords
Measurement of aero-engine feature-hierarchy fusion degradation trend based on parameter-adaptive VMD method and improved transformer model
Sign Up to like & getrecommendations! Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad3b2e
Abstract: The accumulation of operational time in aero-engines leads to irreversible mechanical wear and tear, necessitating accurate measurement of the health evolution trend for effective predictive maintenance, thus reducing the risk of accidents and ensuring personnel… read more here.
Keywords: method; transformer model; aero; aero engine ... See more keywords
deepTAD: an approach for identifying topologically associated domains based on convolutional neural network and transformer model
Sign Up to like & getrecommendations! Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbaf127
Abstract: Abstract Motivation: Topologically associated domains (TADs) play a key role in the 3D organization and function of genomes, and accurate detection of TADs is essential for revealing the relationship between genomic structure and function. Most… read more here.
Keywords: tad boundaries; deeptad; transformer model; topologically associated ... See more keywords
Further Improvements in Topological Transformer Model Covering Core Saturation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183279
Abstract: This paper is devoted to improvements of the low-frequency topological model of a three-legged stacked-core transformer. It is shown that B-H hysteresis loops employed in the transformer model and ψ– i curves measured at transformer… read more here.
Keywords: saturation; improvements topological; transformer model; transformer ... See more keywords
Boosting Cervical Cancer Prediction Leveraging a Hybrid FT-Transformer Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3538566
Abstract: Cervical Cancer (CC) remains a significant threat to women’s health, despite being largely preventable, and is a leading cause of mortality worldwide. Early and accurate prediction is crucial for timely treatment and improved survival rates,… read more here.
Keywords: cervical cancer; transformer model; prediction; model ... See more keywords
A Feature-Augmented Transformer Model to Recognize Functional Activities from in-the-wild Smartwatch Data.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3586074
Abstract: Human activity recognition (HAR) from wearable sensor data traditionally identifies atomic movements (e.g., sit, stand, walk). However, many medical fields require recognizing functional activities—higher-level, goal-directed behaviors (e.g., errands, socialize, work). Functional activity recognition is critical… read more here.
Keywords: feature augmented; recognize functional; functional activities; transformer model ... See more keywords
Swin Transformer for Seismic Denoising
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3358234
Abstract: Seismic noise suppression is an important preprocessing stage for obtaining high-quality seismic signals, which are crucial for seismic exploration. Deep learning methods have achieved excellent results in the field of seismic signal processing. Currently, many… read more here.
Keywords: swin transformer; seismic denoising; transformer model; denoising ... See more keywords