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Threshold algorithm
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The paper presents an overview of underwater traffic management systems utilizing sonar principles. Based on the evaluation of the current situation both domestically and internationally, the research team has proposed the development of a underwater signal processing algorithm based on an adaptive threshold in the Ultra-short Baseline System (USBL).
9p
visergeyne
18-06-2024
0
0
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Ebook "Handbook of computer vision algorithms in image algebra" includes content: Image algebra, image enhancement techniques, edge detection and boundary finding techniques, thresholding techniques, thinning and skeletonizing, connected component algorithms, morphological transforms and techniques, linear image transforms,.... and other contents.
425p
haojiubujain07
20-09-2023
7
4
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Part 1 of ebook "Excursions in harmonic analysis - Volume 3: The February fourier talks at the Norbert Wiener center" provide readers with content including: special topics in harmonic analysis; the algebra of elimination; Hodge-de Rham theory of K-forms on carpet type fractals; applications and algorithms in the physical sciences; biosequence time–frequency processing - pathogen detection and identification; wavelet–shearlet edge detection and thresholding methods in 3D;...
168p
dieptieuung
19-07-2023
2
2
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In this article, the experiments of lifting her/him left hand up and down were performed to measure the concentration of Oxygenated – Hemoglobin (Oxy-Hb) of the human brain by fNIRS, in which the obtained Oxy-Hb signals measured from the brain have the relationship of human movements.
11p
vidoctorstrange
06-05-2023
5
4
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Information retrieval techniques: Lecture 40. The main topics covered in this chapter include: top-k query processing; simple database model; Fagin’s algorithm; threshold algorithm; comparison of Fagin’s and threshold algorithm;... Please refer to the content of document.
21p
tieuvulinhhoa
22-09-2022
7
4
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This paper suggests a solution for the image segmentation (IS) problem with the multilevel thresholding based on one of the latest hybrid swarm computation optimization algorithms, particle swarms, and gravitational search (PSGA). The experimental results are comparable with other state-of-the-art algorithms that show that the PSGA on selected images is better than the competitors.
10p
linyanjun_2408
21-04-2022
14
1
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Regional oximetry is increasingly used to monitor post-extraction oxygen status of the brain during surgical procedures where hemodynamic fluctuations are expected. Particularly in cardiac surgery, clinicians employ an interventional algorithm to restore baseline regional oxygen saturation (rSO2) when a patient reaches a critical desaturation threshold.
9p
viottohahn
30-03-2022
11
2
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In this paper, we aim to shorten this search time by introducing a few agents whose threshold increases faster than the normal one to achieve higher scalability of the BRT algorithm. The results show that the search time is reduced, and the variance is improved, especially under challenging problems where robots are required to make decisions out of a large number of options.
7p
vikissinger
03-03-2022
4
1
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The proposed methodology yields very low equal error rate of 0.5% and the authentication accuracy of 99.5%, which are considered suitable and efficient for real-time implementation. The proposed method can be a useful resource for identifying illegal invasion and is valuable in securing the system as a correlative or substitute form of client validation.
31p
spiritedaway36
28-11-2021
12
0
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The paper proposed a novel threshold based algorithm of oil spill detection in the Synthetic Aperture Radar images. This threshold is a global one determined according to statistical analysis of pixel intensities of the images and their sizes. The simulation results of the proposed method on Python software were compared with other methods, and proved that the proposed method significantly improved accuracy.
8p
nguaconbaynhay12
13-06-2021
12
1
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Many algorithms have been developed to infer the topology of gene regulatory networks from gene expression data. These methods typically produce a ranking of links between genes with associated confidence scores, after which a certain threshold is chosen to produce the inferred topology.
16p
vioklahoma2711
19-11-2020
16
1
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This work presents a machine learning strategy to increase sensitivity in tandem mass spectrometry (MS/MS) data analysis for peptide/protein identification. MS/MS yields thousands of spectra in a single run which are then interpreted by software.
14p
vioklahoma2711
19-11-2020
9
1
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This study aims at developing a metaheuristic based image thresholding method via the employments of the HistoryBased Adaptive Differential Evolution with Linear population size reduction algorithm (LSHADE) and the Otsu objective function. The LSHADE algorithm is used to determine an appropriate set of threshold levels that maximizes the separation between clusters of pixels. Experimental results with four applications demonstrate the usefulness of the newly developed tool.
5p
caygaocaolon8
07-11-2020
10
1
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This chapter presents the following content: Image segmentation by thresholding, global threshold, adaptive/dynamic threshold, local threshold, segmentation algorithms, discontinuity based segmentation link the edge points.
42p
nanhankhuoctai8
23-06-2020
16
2
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This study presents a land use pattern classification of satellite imagery. The Machine learning algorithms are overseen to pattern classifications. The supervised classifier is identifying the classes using trained set. Compiled classification has to be improvised using efficient algorithms with appropriate threshold values. The statistical significance of satellite image classifies into essential classes is of greater importance in remote sensing pattern classification methods.
10p
caygaocaolon2
14-03-2020
14
1
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In complex indoor environments, due to the attenuation of the signal and the changing surrounding environment, the censoring and multi-component problems may be present in the observed data. Censoring refers to the fact that sensors on portable devices cannot measure Received Signal Strength Index (RSSI) values below a specific threshold, such as -100 dBm. The multi-component problem occurs when the measured data varies due to obstacles and user directions, whether the door is closed or open, etc.
6p
caygaocaolon1
13-11-2019
26
0
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Microwave remote sensing or SAR (Synthetic Aperture Radar) data has been employed extensively to map open water bodies and to monitor flood extents, where cloud cover often prohibits the use of satellite sensors operating at other wavelengths. Where total inundation occurs, a low backscatter return is expected due to the specular reflection of SAR signal on the water surface. However, low local incidence angle and wind induced waves can cause a roughening of the water surface which result in a high return signal.
15p
vinhsolax
15-09-2019
16
1
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This paper proposes a framework for mining high utility-probability sequences (HUPSs) in uncertain QSDBs (UQSDBs) with multiple minimum utility thresholds using a minimum utility.
20p
viconandoyle2711
29-08-2019
18
1
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This research aims to introduce an algorithm for separating water and land boundaries using Landsat optical satellite images. The Landsat image is first radiation calibrated and atmospheric calibrated using a FLAASH model. Thresholding algorithm combining with image ratio was then applied to separate boundaries between water and land.
7p
vithanos2711
08-08-2019
50
0
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Summary of Phd thesis in Mathematics: Document geometric layout analysis based on adaptive threshold
The objective of the thesis is to research and develop differential algorithms. Error separating a correct text area making smaller text areas falsifies or loses the information of text or text (over-segmentation), errors include text areas in text columns or text fragments (under-segmentation).
26p
xacxuoc4321
11-07-2019
27
4
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