Results 141 to 150 of about 192,101 (191)

Explainable Two-Stage Xception-Swin Transformer Learning for Body-Part-Aware Fracture Detection in Musculoskeletal X-Rays. [PDF]

J Imaging
Shah SBH, Wajid M, Shah SAH, Godio S, Kassem K, Zaidi GB, Qureshi SA, Shah STH, Deriu MA.   +8 more
europepmc   +1 more source

Enhanced Crop Weed Detection Using an Optimized Swin Transformer Architecture for Precision Agriculture

Under the framework of precision agriculture, machine learning technology enables better crop handling, increased agricultural output, and reduced harm to the environment (Liakos et al., 2018).
Mehendale, Nachiket Anil
core   +1 more source

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

Int Dent J
Shen J, Yang X, Zhang J, Lu X, Chen G, Liu Y, Ye B, Ma M.   +7 more
europepmc   +1 more source

Reidentifikasi Orang pada Data Parsial menggunakan Klasifier Swin Transformer

Penelitian ini dilatarbelakangi oleh kebutuhan untuk mengembangkan sistem reidentifikasi orang yang efektif dalam situasi di mana hanya data parsial tersedia, seperti dalam pengawasan keamanan di area publik atau lalu lintas.
Soemarso, Bayuadi Prakoso
core  

YOLOv13-SwinTongue: Tongue Coating Diagnosis Using an Enhanced YOLOv13 with Swin Transformer. [PDF]

Sensors (Basel)
Yang X, Hao J, Wang Y, Man Y, Yang R, Wu Q.   +5 more
europepmc   +1 more source

Dual-SwinOrd: A Dual-Head Swin Transformer with Semantic Prior Injection for Ordinal Diabetic Retinopathy Grading. [PDF]

Bioengineering (Basel)
Yu W, Si X, Zhong J.
europepmc   +1 more source

Retraction Note: Plant disease recognition using residual convolutional enlightened Swin transformer networks. [PDF]

Sci Rep
Kalpana P, Anandan R, Hussien AG, Migdady H, Abualigah L.   +4 more
europepmc   +1 more source

IoT-Based Monitoring and Prediction of Water Quality Using Swin-Transformer and Depthwise Separable Convolutional Neural Network Optimized by Circulatory System-Based Optimization. [PDF]

Water Environ Res
Gunti NR, Subrahmanyam K.
europepmc   +1 more source

HASwinNet: A Swin Transformer-Based Denoising Framework with Hybrid Attention for mmWave MIMO Systems. [PDF]

Entropy (Basel)
Han X, Tu H, Ying J, Chen J, Xing Z.
europepmc   +1 more source

Dual-stream token fusion with Swin Transformer and lesion-aware tokens for gastric metaplasia classification in IoMT-assisted deployment. [PDF]

BMC Med Imaging
Rokhsati H, Fasihfar Z, Shahriari HR, Rezaee K.   +3 more
europepmc   +1 more source