Results 151 to 160 of about 18,617 (276)

Railway Signal Relay Voiceprint Fault Diagnosis Method Based on Swin-Transformer and Fusion of Gaussian-Laplacian Pyramid

Mathematics
Fault diagnosis of railway signal relays is crucial for the operational safety and efficiency of railway systems. With the continuous advancement of deep learning techniques in various applications, voiceprint-based fault diagnosis has emerged as a ...
Yi Liu, Liang Chen, Zhen Wang, Shangmin Zhou, Bobo Zhao   +4 more
doaj   +1 more source

Enhancing Image Authenticity Detection: Swin Transformers and Color Frame Analysis for CGI vs. Real Images [PDF]

Preeti Mehta, Aman Sagar, Suchi Kumari
openalex   +1 more source

An Induced Environment Contamination Monitor for the Space Shuttle [PDF]

The Induced Environment Contamination Monitor (IECM), a set of ten instruments integrated into a self-contained unit and scheduled to fly on shuttle Orbital Flight Tests 1 through 6 and on Spacelabs 1 and 2, is described.
Decher, R., Miller, E. R.
core   +1 more source

Block-based compressive imaging with a swin transformer

Optics Express
Block-based compressive imaging (BCI) is based on the compressive sensing principle, which uses a spatial light modulator and a low-resolution detector to perform parallel high-speed sampling, followed by super-resolution algorithm to reconstruct target image.
Sheng-Jie, Zhao, Zhi-Yu, Yin, Si-Bo, Yu, Wei, Wang, Hong-Zhu, Yu, Wen-Hao, Li, Chen, Tao   +6 more
openaire   +2 more sources

High-precision non-destructive blade surface inspection via self learning transformer networks

Scientific Reports
Accurate identification of defects in Jet Engine Turbine and compressor blade surface plays a vital role in ensuring engine efficiency, safety and secure life.
Priyadharshini Kannusamy, D. Gayathri, S. Mirdula, Ramasubramanian Bhoopalan, D. Manikandan, Krishnaraj Ramaswamy   +5 more
doaj   +1 more source

HST: Hierarchical Swin Transformer for Compressed Image Super-resolution [PDF]

, 2022
Bingchen Li, Xin Li, Yiting Lu, Sen Liu, Ruoyu Feng, Zhibo Chen   +5 more
openalex   +1 more source

Swin-UNet: A Unified Transformer–CNN Framework for Multi-Organ Medical Image Segmentation [PDF]

Xiaodong Li
openalex   +1 more source

The Swin-Transformer network based on focal loss is used to identify images of pathological subtypes of lung adenocarcinoma with high similarity and class imbalance

, 2023
Yujun Wang, Furong Luo, Xing Yang, Qiushi Wang, Yunchun Sun, Sukun Tian, Peng Feng, Pan Huang, Hualiang Xiao   +8 more
openalex   +2 more sources

Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment [PDF]

Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams, Hannah M. Thompson, Julio García‐Aguilar, Joshua Jesse Smith, Harini Veeraraghavan   +6 more
openalex   +1 more source

MAST: An Earthquake-Triggered Landslides Extraction Method Combining Morphological Analysis Edge Recognition With Swin-Transformer Deep Learning Model [PDF]

, 2023
Yu Huang, Jianqiang Zhang, Haiqing He, Jia Yang, Rong Chen, Yonggang Ge, Zaiyang Ming, Lili Zhang, Haoyu Li   +8 more
openalex   +1 more source