Human activities are usually habitual, following some patterns. The patterns make these activities predictable. A number of our activities these days are online, and these activities require us to access resources fro...
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In recent years, a variety of paints have been developed in response to the diversification of color design. Due to the powder manufacturing process, different sizes of powders may randomly attach to each powder. Sinc...
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Driver fatigue and distraction are major contributors to fatal road accidents worldwide. To enhance vehicle safety, this article proposes a fatigue detection system using EAR and MAR algorithms to identify signs of fa...
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The process of learning is multifaceted and intricate, with confusion playing a pivotal role in engagement and motivation. Confusion arises from a disequilibrium that a learner may have due to some knowledge misconcep...
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The chemical mixing plant could be automated using supervisory control and data acquisition (SCADA) technique. The SCADA system contains a central control unit, a remote terminal unit, and a communication medium. The ...
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This study examines whether the speaker's state during active listening can be estimated using sensors. Few studies work on active listening, where the elderly get refreshed through their talking. This study extra...
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When people seek food, their emotions shift, and not all foods are appealing in all moods. It is incredibly tough to learn people's eating habits and provide advice depending on their emotions at the time. The goa...
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The advent of the Internet, as well as the increasing use of various web applications, social media platforms, and the Internet of Things, are posing online threats to people. Moreover, with the growing dependence on ...
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There have always been many challenges to understand and use nominal data as effectively as numerical data. The judgment-based scaling of nominal data is not as efficient as a formula-based transformation of numerical...
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Convolutional Neural Networks (CNN) have emerged as a highly efficient deep learning algorithm for processing, classifying, and analyzing images. Currently, there is a high demand for networks that are robust to noise...
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