Results 21 to 30 of about 6,691,518 (337)

Seasonal variations in the backscatter of RADARSAT-1 images in tropical coastal environments

open access: yesBrazilian Journal of Geology, 2022
Understanding the variability in synthetic aperture radar (SAR) backscatter as a function of the phenological variability of vegetation and tropical environmental conditions is still a challenge.
Sheila Gatinho Teixeira   +1 more
doaj   +1 more source

A Deep Learning-Based Model for Classifying Osteoporotic Lumbar Vertebral Fractures on Radiographs: A Retrospective Model Development and Validation Study

open access: yesJournal of Imaging, 2023
Early diagnosis and initiation of treatment for fresh osteoporotic lumbar vertebral fractures (OLVF) are crucial. Magnetic resonance imaging (MRI) is generally performed to differentiate between fresh and old OLVF.
Yohei Ono   +6 more
doaj   +1 more source

Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images [PDF]

open access: yesSolar Energy, 2018
Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV) modules. EL images provide high spatial resolution, which makes it possible to detect even finest defects on the surface of PV modules. However, the analysis of
S. Deitsch   +6 more
semanticscholar   +1 more source

Automatic Classification of Photographs and Graphics [PDF]

open access: yes2006 IEEE International Conference on Multimedia and Expo, 2006
In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there are no effective methods to perform this classification automatically. In this paper, we manage to solve this problem from two aspects. At first, we propose some novel low-level
Yuanhao Chen   +3 more
openaire   +2 more sources

Automatic Road Environment Classification [PDF]

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2011
The ongoing development autonomous vehicles and adaptive vehicle dynamics present in many modern vehicles has generated a need for road environment classification - i.e., the ability to determine the nature of the current road or terrain environment from an onboard vehicle sensor.
Isabelle Tang, Toby P. Breckon
openaire   +3 more sources

Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data

open access: yesIEEE Access, 2020
During the last decade, hateful and sexist content towards women is being increasingly spread on social networks. The exposure to sexist speech has serious consequences to women’s life and limits their freedom of speech.
F. Rodríguez-Sanchez   +2 more
semanticscholar   +1 more source

Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination

open access: yesBioMedical Engineering OnLine, 2011
Background This study investigates the variations of Heart Rate Variability (HRV) due to a real-life stressor and proposes a classifier based on nonlinear features of HRV for automatic stress detection.
Melillo Paolo   +2 more
doaj   +1 more source

Automatic Vehicle Detection and Classification [PDF]

open access: yes2008 11th International IEEE Conference on Intelligent Transportation Systems, 2008
This paper presents a proposal for an automatic vehicle detection and classification (AVDC) system. The proposed AVDC should classify vehicles accordingly to the Portuguese legislation (vehicle height over the first axel and number of axels), and should also support profile based classification.
Ferreira, Pedro Miguel   +4 more
openaire   +2 more sources

Automatic classification of citation function [PDF]

open access: yesProceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006
Citation function is defined as the author's reason for citing a given paper (e.g. acknowledgement of the use of the cited method). The automatic recognition of the rhetorical function of citations in scientific text has many applications, from improvement of impact factor calculations to text summarisation and more informative citation indexers.
Simone Teufel   +2 more
openaire   +2 more sources

CFM: a convolutional neural network for first-motion polarity classification of seismic records in volcanic and tectonic areas

open access: yesFrontiers in Earth Science, 2023
First-motion polarity determination is essential for deriving volcanic and tectonic earthquakes’ focal mechanisms, which provide crucial information about fault structures and stress fields. Manual procedures for polarity determination are time-consuming
Giovanni Messuti   +7 more
doaj   +1 more source

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