Huawei has become widely regarded as China's most promising domestic supplier of chips essential for AI development.

To address these challenges, this article proposes a novel neural architecture search (NAS) approach that automatically designs CNNs for remote sensing scene classification. Specifically, an ...

While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the box.

Discover how LEVER Architecture's forest-to-frame model redefines sustainable design and promotes environmental restoration in communities.

Transform your Obsidian vault into a comprehensive knowledge management system with precise, vector-based diagrams that enhance understanding and retention. The plugin's client-server architecture ...

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML ...

A new driving assessment model based on the influencing factors was proposed using random forest as an alternative to the on-road test for a more scientific assessment of stroke patients’ suitability ...

This multi-phase project identifies key satisfaction drivers and provides actionable insights to improve customer experience using statistical analysis and machine learning models, including logistic ...

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...

Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural Networks (CNNs) ...