UML diagrams ... This classifier combines rule-based pattern matching for obvious cases with an LLM-based classification system for more nuanced queries. ```python def classify_question(question ...

However, UML class diagrams exhibit diversity, with different classes presenting multiple representations based on their attributes and methods, and different relationship lines between classes being ...

School of Computer Science, Wuhan University, Wuhan 430072, P. R. China ...

This paper introduces P-TAME (Perturbation-based Trainable Attention Mechanism for Explanations), a model-agnostic method for explaining DNN-based image classifiers. P-TAME employs an auxiliary image ...

Hand-Gesture-2-Robot is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to recognize hand ...

Built on Amazon Web Services (AWS), this system is designed to be scalable, secure, and cost-effective, providing a seamless experience for image classification tasks (e.g., identifying animals or ...

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant ... Figure 2. The structure diagram of LRFC block. The proposed LRFC block ...