Business Reporter: Gaining competitive advantage through structured data extraction

In an article published on Business Reporter, Kristen Warner, VP Marketing at Apryse Software talks about how tools with high ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Frontiers

Advances in machine and deep learning for ECG beat classification: a systematic review

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...
GeekTyrant

THE SMASHING MACHINE's Benny Safdie and Dwayne Johnson to Re-Team for Feature Adaptation LIZARD MUSIC

Following the Venice world premiere of The Smashing Machine, writer-director Benny Safdie and actor Dwayne Johnson are planning a turnaround reteam in another film, Lizard Music. Safdie will adapt the ...
Frontiers

A software pipeline for systematizing machine learning of speech data

1 Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, AB, Canada 2 Computer Science Department, Faculty of Geology, University of Oviedo, Oviedo, Spain The ...
IEEE

HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
SciELO

An Effective Feature Extraction Method for Tomato Leafminer - Tuta Absoluta (Meyrick) (Lepidoptera: Gelechiidae) Classification

Global warming caused by climate change causes some problems in agricultural production. One of these problems is the increase in various pest populations. This increase poses a serious threat to ...
IEEE

Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods

Abstract: Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine ...