Articles with "detection algorithms" as a keyword



Photo from wikipedia

Application of community detection algorithms on learning networks. The case of Khan Academy repository

Sign Up to like & get
recommendations!
Published in 2021 at "Computer Applications in Engineering Education"

DOI: 10.1002/cae.22212

Abstract: The rapid development of online learning networks has resulted in the widespread use of recorded educational contents. While the community structure of those networks may have an influence on the use of contents, research on… read more here.

Keywords: learning networks; community; detection algorithms; online learning ... See more keywords
Photo from wikipedia

Public database for validation of follicle detection algorithms on 3D ultrasound images of ovaries

Sign Up to like & get
recommendations!
Published in 2020 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2020.105621

Abstract: BACKGROUND AND OBJECTIVE Automated follicle detection in ovarian ultrasound volumes remains a challenging task. An objective comparison of different follicle-detection approaches is only possible when all are tested on the same data. This paper describes… read more here.

Keywords: detection algorithms; detection; follicle detection; database ... See more keywords
Photo by mattykwong1 from unsplash

Survey of Spatio-Temporal Interest Point Detection Algorithms in Video

Sign Up to like & get
recommendations!
Published in 2017 at "IEEE Access"

DOI: 10.1109/access.2017.2712789

Abstract: Recently, increasing attention has been paid to the detection of spatio-temporal interest points (STIPs), which has become a key technique and research focus in the field of computer vision. Its applications include human action recognition,… read more here.

Keywords: video; detection; spatio temporal; detection algorithms ... See more keywords
Photo from wikipedia

Outlier Detection Algorithms for Open Environments

Sign Up to like & get
recommendations!
Published in 2023 at "Wireless Communications and Mobile Computing"

DOI: 10.1155/2023/5162254

Abstract: The high dimensionality and massive amount of data in open environments make the existing low-dimensional outlier detection methods time-consuming. The support vector machine (SVM) is a commonly used outlier detection method. However, the SVM still… read more here.

Keywords: outlier detection; algorithms open; sparrow search; open environments ... See more keywords
Photo from wikipedia

Advances in lane marking detection algorithms for all-weather conditions

Sign Up to like & get
recommendations!
Published in 2021 at "International Journal of Electrical and Computer Engineering"

DOI: 10.11591/ijece.v11i4.pp3365-3373

Abstract: Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which… read more here.

Keywords: detection algorithms; lane marking; weather conditions; marking detection ... See more keywords
Photo from wikipedia

Submesoscale Eddies in the Taiwan Strait Observed by High-Frequency Radars: Detection Algorithms and Eddy Properties

Sign Up to like & get
recommendations!
Published in 2017 at "Journal of Atmospheric and Oceanic Technology"

DOI: 10.1175/jtech-d-16-0160.1

Abstract: AbstractThis study compared the efficiencies of two widely used automatic eddy detection algorithms—that is, the winding-angle (WA) method and the vector geometry (VG) method—and investigated the submesoscale eddy properties using surface current observations derived from… read more here.

Keywords: frequency radars; high frequency; eddy properties; detection algorithms ... See more keywords
Photo from wikipedia

Topological and functional comparison of community detection algorithms in biological networks

Sign Up to like & get
recommendations!
Published in 2019 at "BMC Bioinformatics"

DOI: 10.1186/s12859-019-2746-0

Abstract: BackgroundCommunity detection algorithms are fundamental tools to uncover important features in networks. There are several studies focused on social networks but only a few deal with biological networks. Directly or indirectly, most of the methods… read more here.

Keywords: network; community; detection algorithms; biological networks ... See more keywords
Photo by mdominguezfoto from unsplash

Automated detection of hospital outbreaks: A systematic review of methods

Sign Up to like & get
recommendations!
Published in 2017 at "PLoS ONE"

DOI: 10.1371/journal.pone.0176438

Abstract: Objectives Several automated algorithms for epidemiological surveillance in hospitals have been proposed. However, the usefulness of these methods to detect nosocomial outbreaks remains unclear. The goal of this review was to describe outbreak detection algorithms… read more here.

Keywords: outbreak detection; detection; automated detection; detection algorithms ... See more keywords
Photo from wikipedia

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning

Sign Up to like & get
recommendations!
Published in 2019 at "PLoS ONE"

DOI: 10.1371/journal.pone.0222983

Abstract: The blood flow through the major vessels holds great diagnostic potential for the identification of cardiovascular complications and is therefore routinely assessed with current diagnostic modalities. Heart valves are subject to high hydrodynamic loads which… read more here.

Keywords: degradation; heart; detection algorithms; valve ... See more keywords
Photo by spacex from unsplash

Telemetry Fault-Detection Algorithms: Applications for Spacecraft Monitoring and Space Environment Sensing

Sign Up to like & get
recommendations!
Published in 2018 at "Journal of Aerospace Information Systems"

DOI: 10.2514/1.i010587

Abstract: The authors would like to acknowledge the U.S. Air Force Office of Sponsored Research grant FA9550-13-1-0099 and NASA for funding this work through NASA Space Technology and Research Fellowship grant NNX16AM74H. read more here.

Keywords: telemetry fault; space; fault detection; detection algorithms ... See more keywords
Photo by tobiastu from unsplash

Assessing 3 Outbreak Detection Algorithms in an Electronic Syndromic Surveillance System in a Resource-Limited Setting

Sign Up to like & get
recommendations!
Published in 2020 at "Emerging Infectious Diseases"

DOI: 10.3201/eid2609.191315

Abstract: We evaluated the performance of X-bar chart, exponentially weighted moving average, and C3 cumulative sums aberration detection algorithms for acute diarrheal disease syndromic surveillance at naval sites in Peru during 2007–2011. The 3 algorithms’ detection… read more here.

Keywords: outbreak detection; detection; syndromic surveillance; detection algorithms ... See more keywords