The Internet of Things (IoT) has emerged as a transformative technology, connecting a wide array of devices and enabling seamless communication and data exchange. However, the rapid proliferation of IoT devices has br...
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Deep neural networks have played a vital role in developing automated methods for addressing medical image segmentation. However, their reliance on labeled data impedes the practicability. Semi-Supervised learning is ...
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This research aims to develop a new approach to increase the safety and reliability of Autonomous Vehicle (AV) through the proposed risk assessment framework, supported by the trust evaluation approach derived from a ...
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To address the need for summarizing and extracting information efficiently, this paper highlights the growing challenge posed by the increasing number of PDF files. Reading lengthy documents is a tedious and time-cons...
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In supervised machine learning, use of correct labels is extremely important to ensure high accuracy. Unfortunately, most datasets contain corrupted labels. Machine learning models trained on such datasets do not gene...
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The partial differential equation(PDE)solution of the telegrapher is a promising fault location method among time-domain and model-based *** research works have shown that the leap-frog process is superior to other ex...
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The partial differential equation(PDE)solution of the telegrapher is a promising fault location method among time-domain and model-based *** research works have shown that the leap-frog process is superior to other explicit methods for the PDE ***,its implementation is challenged by determining the initial conditions in time and the boundary conditions in *** letter proposes two implicit solution methods for determining the initial conditions and an analytical way to obtain the boundary conditions founded on the signal *** results show that the proposal gives fault location accuracy superior to the existing leap-frog scheme,particularly in the presence of harmonics.
Automatic image annotation systems are employed to describe the visual content of images via tag assignment. Most of these image description systems use deep convolutional neural networks as feature extractors or mult...
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Optical Character Recognition (OCR) has become quite well known in the last few years, because it has applications in many sectors. In this paper, we look at the basics of OCR and discuss a few popular datasets that c...
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Technology-enhanced learning has the potential to increase educational quality. In this study, we examine the integration of augmented reality (AR) technology in rural primary schools in India. We listed articles asso...
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The Graph isomorphism problem involves determining whether two graphs are isomorphic and the computational complexity required for this *** general,the problem is not known to be solvable in polynomial time,nor to be ...
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The Graph isomorphism problem involves determining whether two graphs are isomorphic and the computational complexity required for this *** general,the problem is not known to be solvable in polynomial time,nor to be *** this paper,by analyzing the algebraic properties of the adjacency matrices of the undirected graph,we first established the connection between graph isomorphism and matrix row and column interchanging ***,we prove that for undirected graphs,the complexity in determining whether two graphs are isomorphic is at most O(n^(3)).
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