Spatial compatibility (SC) is a widely used similarity measure in outlier rejection methods. However, the single compatibility check used in the spatial compatibility measure is vulnerable to problems such as feature ...
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In the present era, the rapid rise of IoT technology has brought forth innovative solutions, particularly in ensuring food safety. This study introduces an IoT-based ethanol detection system tailored to preserve the q...
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As organizations increasingly move their applications to the cloud, it becomes essential to have an efficient and cost-effective method for deploying and managing those applications. Manual deployment can be time-cons...
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This paper presents a novel approach to address the lateral control issue in trajectory tracking for autonomous cars. Traditional model-free adaptive control algorithms have some limitations, prompting the development...
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The Extended Kalman Filter (EKF) is one of the most common and widely used nonlinear estimators employed for Simultaneous Localization and Mapping (SLAM) tasks. In this paper, by employing the Iterative Closest Point ...
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This paper proposes a novel approach to emulating biological neural components using memristors. The nanoscale, resistance variability, and non-volatility of the memristor make it a suitable candidate for this task. A...
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A new technology, a Smart Grid Management System (SGMS), explains how it uses machine learning algorithms to distribute power more effectively. This article overviews intelligent grid management systems, including the...
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This paper presents a novel framework for testing automation applications compliant with the international standard IEC 61499 and including process simulation. The framework enables automation programs to be run in te...
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Industry 4.0 drives a significant revolution in the industrial manufacturing area in recent years, with predictive maintenance consolidating its potential to increase efficiency and productivity by reducing downtime. ...
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Automated visual recognition is a process that utilizes computer vision technology to analyze, process, and recognize images and videos, thereby achieving automation. It is an important branch of computer vision techn...
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