Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

ABSTRACT: This study proposes a multimodal AI model for classifying Vietnamese digital learning materials by integrating three key information sources: text content, image and graphic features, and ...

Abstract: The hierarchical classification method can utilize the hierarchical structure to achieve fine classification from coarse-grained to fine-grained. Hierarchical classification has demonstrated ...

ABSTRACT: The study aims to provide insights into the benefits and potential risks associated with its adoption. The findings will be valuable for organizations considering transitioning to SDN, ...

This library offers a flexible and scalable solution for developers integrating multi-currency wallet functionality. It adheres to standard protocols for compatibility with other wallets and services, ...

Abstract: Classes in hyperspectral images (HSIs) often exhibit inherent hierarchical structures, such as the familygenusspecies hierarchy in tree species. Previous studies have shown that modeling ...

1 School of Software Engineering, Chengdu University of Information Technology, Chengdu, China 2 Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...