Based on our previous work, our gamification of sorting algorithm learning has been able to support learners to produce better learning outcomes if we compare them to the performance when they learn only in a traditio...
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Pedestrian detection is one of the significant task for the intelligent transportation *** the pedestrian detection become much relevant in automotive field for improving the safety systems. Many of the existing resea...
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Frustration is a type of emotion that roots with disappointment or when the person is not satisfied with the product, service offered, the result of an experiment, an event that happened in his/her life. Purchasing pr...
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Modern machine learning techniques can discover complicated statistical dependencies between random variables, usually in the form a statistical model, and make use of these dependencies to perform predictions on futu...
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In this paper, a variable learning rate least mean square control algorithm has been proposed to control Dynamic Voltage Restorer for compensating the disturbances present in the supply source side of a distribution n...
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This paper studies a time-varying diffusion social learning algorithm, for an agent in a network trying to learn a true hypothesis (or state). We will show that agents in a weakly connected sub-network will be under t...
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In this review, significant literature surveys on machine learning (ML) and deep learning (DL) techniques for network analysis of intrusion detection are explained. In addition, it presents a short tutorial explanatio...
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Implementation of Automatic modulation classification originated in the military field several years ago. Threat analysis, surveillance, and welfare where of great concern, thus this urged the importance to study the ...
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Machine learning techniques offer innovative solutions to many problems from image recognition to intractably difficult games (i.e., Go). However, researchers and developers often employ machine learning techniques in...
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With the wide application of the Internet plus in the teaching field, the traditional classroom teaching mode is facing severe challenges. The traditional mode restrains students’ interest in learning, limits the dev...
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