Automatic detection of the Region of Interest (RoI) from the chosen digital image is one of the prime tasks in various domains, and this work considered the underwater images for the study. In order to extract the RoI...
Automatic detection of the Region of Interest (RoI) from the chosen digital image is one of the prime tasks in various domains, and this work considered the underwater images for the study. In order to extract the RoI with better accuracy, the proposed research aims to develop a scheme by integrating the image enhancement approach and the Convolutional Neural Network (CNN) segmentation. The various phases of this scheme involve; (i) Image collection and pre-processing, (ii) RoI extraction using CNN segmentation, and (iii) Comparing the segmented region with Ground-Truth (GT) and confirming the merit of the implemented technique. This work considered Shannon's Entropy and Firefly Algorithm (SE+FA) tri-level thresholding to pre-process the images. Then the necessary RoI from these images are mined using the UNet and its variants, such as UNet+, UNet++, and VGG-UNet. The experimental investigation of this scheme confirms that the VGG-UNet implemented using VGG16 as the backbone (encoder) helped achieve a better result than other schemes. This investigation considered the UFO-120 database for the assessment, and the VGG-UNet offered an RoI mining accuracy of>98%. Other UNet variants offered >96% accuracy, which confirms the merit of the proposed scheme.
Let k be a characteristic zero domain. For a locally unital k-superalgebra A with distinguished idempotents I and even subalgebra a ⊆ A¯0, we define and study an associated diagrammatic monoidal k-linear supercat...
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The article is devoted to the forecast of the number of persons entering the universities (applicants) in the Rostov region. For this purpose, a cognitive simulation model based on indicators characterizing economic, ...
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In recent years, the emergence of a large number of venture firms has brought great profits to venture capital firms. However, it is not easy to identify venture firms with investment prospects. Therefore, based on fr...
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The fusion of public sentiment data in the form of text with stock price prediction is a topic of increasing interest within the financial community. However, the research literature seldom explores the application of...
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If X is a subset of vertices of a graph G, then vertices u and v are X-visible if there exists a shortest u, v-path P such that V (P) ∩ X ⊆ {u, v}. If each two vertices from X are X-visible, then X is a mutual-visibi...
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The Publisher has retracted this article in agreement with the Editor-in-Chief. The article was submitted to be part of a guest-edited issue. An investigation by the publisher found a number of articles, including thi...
In this work, we develop a computational framework that aims at simultaneously optimizing the shape and the slip velocity of an axisymmetric microswimmer suspended in a viscous fluid. We consider shapes of a given red...
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Zonotopal algebras (external, central, and internal) of an undirected graph G introduced by Postnikov-Shapiro and Holtz-Ron, are finite-dimensional commutative graded algebras whose Hilbert series contain a wealth of ...
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