Results 41 to 50 of about 6,691,518 (337)

Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous Workout

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
Observing, classifying and assessing human movements is important in many applied fields, including human-computer interface, clinical assessment, activity monitoring and sports performance.
Ezio Preatoni   +2 more
doaj   +1 more source

Eestikeelsete veebitekstide automaatne liigitamine

open access: yesEesti Rakenduslingvistika Ühingu Aastaraamat, 2018
"Classifying Estonian Web texts" Due to the size of the Internet and the multitude of traditional and new genres there has been an increasing interest in automatic genre classification.
Kristiina Vaik, Kadri Muischnek
doaj   +1 more source

Benthic Habitat Map of the Southern Adriatic Sea (Mediterranean Sea) from Object-Based Image Analysis of Multi-Source Acoustic Backscatter Data

open access: yesRemote Sensing, 2021
A huge amount of seabed acoustic reflectivity data has been acquired from the east to the west side of the southern Adriatic Sea (Mediterranean Sea) in the last 18 years by CNR-ISMAR.
Mariacristina Prampolini   +6 more
doaj   +1 more source

Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning [PDF]

open access: yes, 2014
Automatic species classification of birds from their sound is a computational tool of increasing importance in ecology, conservation monitoring and vocal communication studies.
Plumbley, Mark D.   +6 more
core   +2 more sources

Classification of Text, Automatic [PDF]

open access: yes, 2006
Automatic text classification (ATC) is a discipline at the crossroads of information retrieval (IR), machine learning (ML), and computational linguistics (CL), and consists in the realization of text classifiers, i.e. software systems capable of assigning texts to one or more categories, or classes, from a predefined set.
openaire   +3 more sources

Automatic classification of focal liver lesions based on MRI and risk factors

open access: yesPLoS ONE, 2019
Objectives Accurate classification of focal liver lesions is an important part of liver disease diagnostics. In clinical practice, the lesion type is often determined from the abdominal MR examination, which includes T2-weighted and dynamic contrast ...
Mariëlle J. A. Jansen   +5 more
semanticscholar   +1 more source

Convolutional Neural Network Algorithms for Semantic Segmentation of Volcanic Ash Plumes Using Visible Camera Imagery

open access: yesRemote Sensing, 2022
In the last decade, video surveillance cameras have experienced a great technological advance, making capturing and processing of digital images and videos more reliable in many fields of application.
José Francisco Guerrero Tello   +4 more
doaj   +1 more source

AutoPVS1: An automatic classification tool for PVS1 interpretation of null variants

open access: yesbioRxiv, 2019
Null variants are prevalent within human genome, and their accurate interpretation is critical for clinical management. In 2018, the ClinGen Sequence Variant Interpretation (SVI) Working Group refined the only criterion (PVS1) for pathogenicity in the ...
J. Xiang   +3 more
semanticscholar   +1 more source

Recent advancements in machine learning for bone marrow cell morphology analysis

open access: yesFrontiers in Medicine
As machine learning progresses, techniques such as neural networks, decision trees, and support vector machines are being increasingly applied in the medical domain, especially for tasks involving large datasets, such as cell detection, recognition ...
Yifei Lin   +4 more
doaj   +1 more source

Automatic Classification Of Heartbeats

open access: yes, 2014
Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Tony Basil, Choudur Lakshminarayan
openaire   +3 more sources

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