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 ...

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 ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

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

Port: F5 Project stands behind personal loans to executives but answers no questions

MINOT — The F5 Project, a nonprofit focused on rehabilitation and reentry services for the formerly incarcerated, has responded to my recent reporting about two of its top executives, Adam Martin and ...
GitHub

image-classification-model

Develop an AI-based image classification system using CNN and transfer learning. The project includes data preprocessing, model training, fine-tuning, evaluation with precision, recall, and F1-score, ...
IEEE

A Novel Thermal Image-Based Metal Classification System Using Machine Learning Algorithms

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
IEEE

Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection

Abstract: A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the ...
GitHub

confidence-calibration

[MICCAI 2025] The official implementation of the paper "Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification".