Abstract: Over recent years, the frequency and intensity of fire disasters have escalated, underscoring the urgent need for accurate and timely disaster classification and mitigation strategies. The ...

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

This repository provides Python bindings for the libiec61850 library, which is an open-source implementation of the IEC 61850 standard for communication networks and systems in substations.

As data centers hurtle to the forefront of the national debate over AI and energy costs, Northern Virginia offers a preview of the political fights that will play out in communities across the country ...

ANN ARBOR, MI — Communities across the area are grappling with plans for massive hyperscale data centers to power artificial intelligence and other computing technologies. Proposals backed by Big Tech ...

WASHTENAW COUNTY, MI - A foster family shooting. A slew of closed downtown Ann Arbor businesses, including one facing $10,000 a month in rent. An overflowing homeless shelter. A president’s sudden ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.