Light microscopic iris classification using ensemble multi‐class support vector machine
Sign Up to like & getrecommendations! Published in 2021 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.23659
Abstract: Similar to other biometric systems such as fingerprint, face, DNA, iris classification could assist law enforcement agencies in identifying humans. Iris classification technology helps law‐enforcement agencies to recognize humans by matching their iris with iris… read more here.
Keywords: classification; iris classification; ensemble multi; multi class ... See more keywords
Handwriting-based gender and handedness classification using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-10170-7
Abstract: Demographical handwritings classification has many applications in various disciplines such as biometrics forensics, psychology, archeology, etc. Finding the best features for differentiating subclasses (e.g. men and women) is one of the major problems in handwriting… read more here.
Keywords: neural networks; classification using; handedness classification; classification ... See more keywords
Lung sounds classification using convolutional neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2018.04.008
Abstract: Lung sounds convey relevant information related to pulmonary disorders, and to evaluate patients with pulmonary conditions, the physician or the doctor uses the traditional auscultation technique. However, this technique suffers from limitations. For example, if… read more here.
Keywords: neural networks; convolutional neural; sounds classification; classification using ... See more keywords
Adaptive classification using incremental learning for seismic-volcanic signals with concept drift
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Volcanology and Geothermal Research"
DOI: 10.1016/j.jvolgeores.2021.107211
Abstract: Abstract The accurate labeling of the volcanic earthquake signals is a crucial task in order to estimate the increase in volcanic activity (among other parameters), which contributes to determine a state of volcanic unrest (as… read more here.
Keywords: classification using; order; strategy; adaptive classification ... See more keywords
Deciduous tree species classification using object-based analysis and machine learning with unmanned aerial vehicle multispectral data
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2017.1363442
Abstract: ABSTRACT Object-based image analysis and machine-learning classification were applied to multispectral camera array data acquired by a small rotating blade unmanned aerial vehicle (UAV) over a hardwood forest in eastern Ontario. White birch, aspen, and… read more here.
Keywords: classification; machine learning; object based; analysis ... See more keywords
Classification using semiparametric mixtures
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1579306
Abstract: ABSTRACT A new density-based classification method that uses semiparametric mixtures is proposed. Like other density-based classifiers, it first estimates the probability density function for the observations in each class, with a semiparametric mixture, and then… read more here.
Keywords: using semiparametric; classification; semiparametric mixtures; density ... See more keywords
Object based classification using multisensor data fusion and support vector algorithm
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Image and Data Fusion"
DOI: 10.1080/19479832.2017.1372524
Abstract: ABSTRACT The present work aims at classifying the natural and man-made objects by fusing features of coarse resolution hyperspectral (1 m) LWIR and fine resolution (20 cm) RGB data. The classified results comprise of five… read more here.
Keywords: classification; object based; support vector; using multisensor ... See more keywords
Pulsar Candidate Classification Using A Computer Vision Method Combining with Convolution and Attention
Sign Up to like & getrecommendations! Published in 2023 at "Research in Astronomy and Astrophysics"
DOI: 10.1088/1674-4527/accdc2
Abstract: Artificial intelligence methods are indispensable to identifying pulsars from large amounts of candidates. We develop a new pulsar identification system that utilizes the CoAtNet to score two-dimensional features of candidates, uses a multilayer perceptron to… read more here.
Keywords: candidate classification; dimensional features; using computer; pulsar candidate ... See more keywords
Border Trespasser Classification Using Artificial Intelligence
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3079702
Abstract: Monitoring the border is a very important task for national security. Wireless sensor networks (WSN) appear well suited in this application. This work aims to monitor a large-scale geographical framework that represents the borders of… read more here.
Keywords: classification using; using artificial; trespasser classification; border ... See more keywords
ECG Heartbeat Classification Using Multimodal Fusion
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DOI: 10.1109/access.2021.3097614
Abstract: Electrocardiogram (ECG) is an authoritative source to diagnose and counter critical cardiovascular syndromes such as arrhythmia and myocardial infarction (MI). Current machine learning techniques either depend on manually extracted features or large and complex deep… read more here.
Keywords: classification using; fusion; multimodal fusion; ecg heartbeat ... See more keywords
Robust Target Classification Using UWB Sensing*
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3273152
Abstract: Contactless material characterization has received widespread attention in the radar and engineering domains. Specifically, impulsive Ultra Wideband (UWB) systems are a versatile technology for the nondestructive characterization of samples because the scattered field produced by… read more here.
Keywords: classification; robust target; using uwb; target classification ... See more keywords