Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Over the last several decades urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...