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 ...
P.M. News on MSN

Nigerian makes breakthrough on how design and intelligent technology impact health

By Nehru OdehIbrahim Bilau, a doctoral candidate at the Georgia Institute of Technology, whose work spans science, product innovation and human-centred technology, is a researcher with a ...
Frontiers

Deep learning-enabled hybrid systems for accurate recognition of text in seal images

Chinese seals are widely used in various fields within Chinese society as a tool for certifying legal documents. However, recognizing text on these seals presents challenges due to background text, ...
IEEE

Data-Driven Solutions for Human Trafficking: Detection and Impact Analysis Using Machine Learning

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...
Gothamist

Wegmans defends use of facial recognition at NYC stores, citing 'elevated risk’

A spokesperson for Wegmans defended the use of facial recognition at its Brooklyn and Manhattan locations, saying the popular supermarket chain only deploys the technology on a “case-by-case basis” at ...
IEEE

Machine Learning Driven Multiple Human Activity Recognition and Tracking Using Radar Technology: A Review

Abstract: In recent years, human detection and tracking have become crucial in military, search and rescue, and law enforcement agencies. Using machine learning techniques such as two-dimensional ...