This paper presents the design and testing of a voice-activated cleaning system for home automation. The system allows users to control a floor cleaning robot using voice commands. The robot is equipped with a Bluetoo...
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This article presents the design of a array microstrip antenna with circular polarization for the evaluation of the specific absorption rate (SAR) in human tissues. The analysis focuses on a single element and a two e...
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As one of the most active research directions in the field of neural engineering, the brain-computer interface has developed rapidly in recent years, and its application fields have also been expanding. As one of the ...
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Requirements engineering (RE) in the context of agile development is the process of discovering, analysing, validating, and managing software requirements through engaging with the stakeholders. RE activities are cent...
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Assessing landslide susceptibility is vital in mitigating natural disasters, particularly in zones with active tectonics. This paper will discuss a novel approach based on a CNN architecture in a U -Net designed to as...
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natural language processing (NLP) is an increasing number of powerful tools for knowledge discovery, permitting companies to automate techniques like textual content analysis and sentiment analysis that used to requir...
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Advanced Driver Assistance Systems, or ADAS for short, are a group of technologies intended to help drivers operate their automobiles more safely and effectively. These systems often employ sensors, cameras, and other...
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One popular fruit grown and consumed worldwide is the mango. Currently, mangoes are manually sorted based on their ripeness level for commercial purposes, leading to inaccuracies and increased labor costs in the proce...
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Here we present an effective and performing hysteresis model, based on a deep neural network, with the ability to reproduce the evolution of the magnetization processes under arbitrary excitation waveforms. The propos...
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Soft sensors are employed in industrial processes to estimate the variables that required a sophisticated and complex procedure to be measured. However, in many practical cases, the processes possess a nonlinear and m...
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