Philadelphia communities help AI machine learning get better at spotting gentrification

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.

Simulations and experiments meet: Machine learning predicts gold nanocluster structures

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

New breakthrough in emotional "mind reading"---photonic vibration perception system achieves stable cross-individual recognition

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250010, discusses how a photonic vibration ...
IEEE

Meta-Learning Classification Network for Few-Shot Polarimetric SAR Images

Abstract: Polarimetric synthetic aperture radar (PolSAR) images hold significant importance in applications such as crop classification. To achieve better classification performance, deep learning ...
IEEE

Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution

Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...