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 ...

We propose U-VLM, which enables hierarchical vision-language modeling in both training and architecture: (1) progressive training from segmentation to classification to report generation, and (2) ...

The final, formatted version of the article will be published soon. Machine learning for voice disorders relies heavily on accurate diagnostic classification, yet progress has been limited by ...

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, ...

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 ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

J Med Internet Res 2026;28:e86545 ...

ABSTRACT: The integration of artificial intelligence (AI) in project management is fundamentally transforming how organizations handle planning, execution, and project oversight. This mixed-methods ...