Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...
Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
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 ...
90% accuracy resnet-like CNN from scratch for Intel Image Classification dataset WITHOUT transfer learning and with complex metrics.
SALINE TWP., MI — Despite local resistance, protests and opposition from Michigan’s top attorney, state regulators fast-tracked approval for DTE Energy to power what would be Michigan’s first ...
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