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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model

IEEE Access
Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective opinions, errors, and laborious procedures frequently limit traditional approaches, which are based ...
Waqar Khalid +3 more
doaj +1 more source

Architectural Scalability and Attention Stabilization for Robust Impulsive Acoustic Spectrogram Classification Using Swin Transformer V2

IEEE Access
Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj +1 more source

A novel attention-enhanced Swin Transformer for tire surface defect classification

Discover Computing
Tire surface defects are critical factors affecting driving safety, and traditional manual inspection methods suffer from low efficiency, strong subjectivity, and high missed detection rates.
Shanjiang Zhang, Jian Lian, Renjing Liu
doaj +1 more source

A novel object detection algorithm based on Swin Transformer. [PDF]

Sci Rep
Qian Y, Zhang Z, Wang B, Wu W.
europepmc +1 more source

A Safe-Domain Generative Adversarial Network with Swin Transformer for Noisy Imbalanced Fault Diagnosis. [PDF]

Sensors (Basel)
Lai X, Zhang X, Xie Z, Liu M.
europepmc +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc +1 more source

Editorial Note: Small object detection algorithm incorporating swin transformer for tea buds. [PDF]

PLoS One
PLOS One Editors.
europepmc +1 more source

Deep Learning Based on Swin-Transformer and 3D U-Net: Implant Three-Dimensional Position Planning. [PDF]