Detection Algorithms
Mostrando 1-12 de 147 artigos, teses e dissertações.
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1. Deep learning model-assisted detection of kidney stones on computed tomography
ABSTRACT Introduction: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images. Materials and Methods: This retrospective study included 455 patients who underwent CT scanning for kidney stones between January 2016 and
International braz j urol. Publicado em: 2022
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2. ECG Signals Classification Using Overlapping Variables to Detect Atrial Fibrillation
ABSTRACT In the present work a method for the detection of the cardiac pathology known as atrial fibrillation is proposed by calculating different information, statistics and other nonlinear measures over ECG signals. The original database contains records corresponding to patients who are diagnosed with this disease as well as healthy subjects. To formulate
Trends in Computational and Applied Mathematics. Publicado em: 2022
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3. AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA
ABSTRACT Light Detection and Ranging (LiDAR) derived individual tree crown attributes can potentially serve as a tool for ecology and forest dynamics studies and reduce field inventory costs. In this study, four methods of individual tree detection (ITD), Watershed, Silva et al. (2016), Dalponte and Coomes (2016), and Coomes et al. (2017), were evaluated in
CERNE. Publicado em: 20/12/2019
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4. SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING
Abstract: The amount of data produced in an echosounder has increased dramatically with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged terrain representation, especially when it comes to detecting hazardous objects to the navigator. However, the available processing algorithm
Bol. Ciênc. Geod.. Publicado em: 02/12/2019
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5. ROBUST METHODOLOGY FOR DETECTION OF SPIKES IN MULTIBEAM ECHO SOUNDER DATA
Abstract Currently, during the operation in shallow waters, scanning systems, such as multibeam systems, are capable of collecting thousands of points in a short time, promoting a greater coverage of the submerged bottom, with consequent increase in the detection capacity of objects. Although there has been an improvement in the accuracy of the depths collec
Bol. Ciênc. Geod.. Publicado em: 14/10/2019
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6. Stem Modelling of Eucalyptus by Terrestrial Laser Scanning
ABSTRACT The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional mode
Floresta Ambient.. Publicado em: 22/08/2019
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7. An SHM approach using machine learning and statistical indicators extracted from raw dynamic measurements
Abstract Structural Health Monitoring using raw dynamic measurements is the subject of several studies aimed at identifying structural modifications or, more specifically, focused on damage assessment. Traditional damage detection methods associate structural modal deviations to damage. Nevertheless, the process used to determine modal characteristics can in
Lat. Am. j. solids struct.. Publicado em: 14/03/2019
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8. Finite element evaluation of the effects of curvature in Lamb waves for composites structural health monitoring
Abstract This work presents the effect of the high curvature to thickness ratio on the characteristics of Lamb Waves propagating over the skins of composite structures. It is accessed how the curvature on composite skins affects the group velocity of the symmetrical (S0) and asymmetrical (A0) wave modes. It is also accessed the gradient of curvature effect,
Lat. Am. j. solids struct.. Publicado em: 11/10/2018
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9. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
ABSTRACT The aim of this study was to evaluate the performance of four ground filtering algorithms to generate digital terrain models (DTMs) from airborne light detection and ranging (LiDAR) data. The study area is a forest environment located in Washington state, USA with distinct classes of land use and land cover (e.g., shrubland, grassland, bare soil, an
Floresta Ambient.. Publicado em: 01/02/2018
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10. An automatic gain control circuit to improve ECG acquisition
Abstract Introduction Long-term electrocardiogram (ECG) recordings are widely employed to assist the diagnosis of cardiac and sleep disorders. However, variability of ECG amplitude during the recordings hampers the detection of QRS complexes by algorithms. This work presents a simple electronic circuit to automatically normalize the ECG amplitude, improving
Res. Biomed. Eng.. Publicado em: 30/11/2017
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11. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves
Abstract Introduction Functional magnetic resonance imaging (fMRI) is a non-invasive technique that allows the detection of specific cerebral functions in humans based on hemodynamic changes. The contrast changes are about 5%, making visual inspection impossible. Thus, statistic strategies are applied to infer which brain region is engaged in a task. Howeve
Res. Biomed. Eng.. Publicado em: 2017-03
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12. Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
ABSTRACT Insects play significant role in the human life. And insects pollinate major food crops consumed in the world. Insect pests consume and destroy major crops in the world. Hence to have control over the disease and pests, researches are going on in the area of entomology using chemical, biological and mechanical approaches. The data relevant to the fl
Braz. arch. biol. technol.. Publicado em: 23/01/2017