Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Optimized Feature Selection for Rhizome Image Classification: Evaluation of CFS, ReliefF, and L1-SVM
Abstract: Image classification of rhizome plants plays a crucial role in supporting agriculture, the herbal industry, and biodiversity conservation. However, the high visual complexity-resulting from ...
90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.
MetPy follows semantic versioning in its version number. This means that any MetPy 1.x release will be backwards compatible with an earlier 1.y release. By "backward compatible", we mean that correct ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback