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This study investigates the plasmonic properties and biosensing capabilities of a nanocomposite incorporating Cu and Ag nanoparticles for detecting anti‐DbpA antibodies associated with Lyme disease. The enhanced LSPR response is explained through FDTD simulations of Cu–Ag near‐field interactions and increased surface roughness.
Sanjay Kumar+10 more
wiley +1 more source
Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images. [PDF]
Oraby S, Emran A, El-Saghir B, Mohsen S.
europepmc +1 more source
PCAFA-Net: A Physically Guided Network for Underwater Image Enhancement with Frequency-Spatial Attention. [PDF]
Cheng K+5 more
europepmc +1 more source
Exploring the impact of hyperparameter and data augmentation in YOLO V10 for accurate bone fracture detection from X-ray images. [PDF]
Srinivasu PN+4 more
europepmc +1 more source
Identification of nine mammal monosaccharides by solid-state nanopores. [PDF]
Sun Y+7 more
europepmc +1 more source
An interpretable machine learning model for seasonal precipitation forecasting. [PDF]
Pinheiro E, Ouarda TBMJ.
europepmc +1 more source
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Square texton histogram features for image retrieval
Multimedia Tools and Applications, 2018A new image feature descriptor for content-based image retrieval is proposed, named as Square Texton Histogram (STH). STH is derived based on the correlation between texture orientation and color information. Based on julesz’s texton theory ‘Square Texton’ templates are proposed for Image texture analysis.
Ahmad Raza+3 more
openaire +2 more sources
Histogram Features Extraction for Edge Detection Approach
2022 5th International Conference on Engineering Technology and its Applications (IICETA), 2022An edge is where an image’s intensity values rapidly change from low to high-intensity values or vice versa. The edge itself is at the midpoint of this change. Edge detection remains a challenge in computer vision despite recent advances.
Fallah H. Najjar+5 more
semanticscholar +1 more source
Effect of Histogram Equalization in Face Detection Using Spatial Histogram Features [PDF]
Many information of an object can simultaneously be conserved by histogram based features. Because of the different intensities of pixels and different lighting conditions in an image, histograms which are employed for extracting features are better to be first equalized.
Hosein Alizadeh, Hamid Parvin
openaire +1 more source