Dual-Branch ConTransformer Model Improves Rice Leaf Disease Identification Accuracy
Researchers designed ConTransformer, a dual-branch neural network combining ConvNeXt V2 and an enhanced Vision Transformer that achieved 99.07 percent accuracy ...
Researchers designed ConTransformer, a dual-branch neural network combining ConvNeXt V2 and an enhanced Vision Transformer that achieved 99.07 percent accuracy ...
Researchers at the intersection of artificial intelligence and fashion design have proposed a new branding framework intended to assist early-stage ...
A mini-review proposes an EHR-integrated framework combining quantitative ocular biometrics and automated risk stratification to improve perioperative decision-making in ophthalmology.
A study published in Diagnostic Pathology presents an integrated framework combining radiomic and deep learning-derived features to improve the accuracy ...
Researchers have developed and field-tested an autonomous solar-powered fruit fly trap combining methyl eugenol lures and high-voltage electrocution grids to ...
The study, published in BMC Biomedical Engineering, introduces a transfer learning architecture that integrates custom optimization algorithms and regularization methods ...
The primary objective was to distinguish genotypes suitable for broad adaptation from those with specific environmental preferences, addressing the significant ...
A pilot study in Ecuador evaluates key barriers and facilitators to combining mental health support with economic inclusion initiatives for ...
A retrospective study of 438 minor acute ischemic stroke patients established a six-factor nomogram incorporating clinical, laboratory, and neuroimaging markers ...
Researchers from Iran have proposed a multi-scalar, phased development framework designed to integrate informal settlements into sustainable land use planning ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine