A gate drive circuit for power devices requires a signal and power transmission function. The wires of the gate drive circuit tend to increase in circuits depending on a number of power devices. This paper proposes a ...
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Dealing with missing data is necessary to develop a solid predictive medical research model. This work presents a hybrid dynamic imputation method devoted to addressing the challenge of missing data, specifically focu...
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We propose adaptive power control of obstacle avoidance system for visually impaired person. It utilizes multiple ultrasonic sensors to avoid obstacles lying in the path. We evaluate complex structure in front of the ...
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In this data-driven world, the Anomaly detection technique plays a key role in various domains. Since the amount of generated data is huge, conventional anomaly detection techniques using batch processing are ineffici...
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A vehicular ad hoc network (VANET) is a group of moving or stationary vehicles connected by a wireless network. The main purpose of VANET is to provide safety and comfort to drivers in vehicular environments. It also ...
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Classifying plant species has taken much attention in the research area to help people recognizing plants easily. In recent years, the convolutional neural networks (CNN) have achieved tremendous computer vision resul...
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This paper presents EPAC (Electrostatic isoPotential Analytical Comparative model), the first statistical model for evaluating the geometric similarity of electrostatic fields. Beginning with aligned binding cavities,...
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The mixing of multiple languages in speech or text is termed as the phenomenon of code-mixing. The easier access of internet to a larger population, fluent in various regional languages and the more convenient usage o...
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The growth of people using social media and E commerce in the modern world has influenced the people in the way they think, they communicate and act. Sentiments are expressed in the posts written by the users, views e...
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Pulmonary tuberculosis assisted diagnosis technology mainly faces the problems of poor resistance to overfitting due to the small training dataset and the low accuracy of lung tissue interference detection. This paper...
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