IEEE

A Knowledge Graph Completion Model Combining Graph Convolutional Networks with Self-Attention Mechanisms

Abstract: Knowledge graph completion aims to predict missing entities or relationships in a knowledge graph, addressing the issue of data sparsity. In recent years, deep learning-based models, ...
Devdiscourse

Agriculture turns to AI: Global trends in land use and crop monitoring

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...
IEEE

Performance Evaluation of 3-D Convolutional Neural Network for Multitemporal Flood Classification Framework With Synthetic Aperture Radar Image Data

Abstract: Urban flooding significantly impacts populations and often coincides with heavy rainfall, making optical satellite observation challenging due to cloud cover. This study proposes a novel ...

Navigating the Code World: The Cutting Edge and Applications of Python in Machine Learning

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...