Abstract: This article introduces a comprehensive multiagent prototype system designed to enhance the autonomous navigation capabilities of vehicles by incorporating numerous sensors and components.
Abstract: Real-time fault detection and classification are important for power system stability and resilience of the power grid to minimize downtime and prevent cascading failures. Numerical relays ...
Abstract: This study aims to classify brainwave patterns using electroencephalogram (EEG) signals in response to various auditory stimuli, specifically Quran recitation, participants’ favorite music, ...
Abstract: Due to the increased use of social networks, word-of-mouth analysis has become an effective tool in market research since firms can determine the users’ attitudes toward their brands.
ABSTRACT: Agriculture is essential for humanity’s survival, and productivity is crucial in agriculture. Owing to its multiple nutrients, cherry has become an important fruit for daily consumption; ...
Abstract: As AI technology evolves, seeing is not believing. The boundary between human and machine creativity is increasingly blurred, presenting challenges for the art industry. This is more ...
Abstract: The field of information fusion and deep learning (DL) has advanced significantly in recent years, enabling computers and other devices to perceive, recognize, and evaluate emotions. In ...
Abstract: As Deep Learning (DL) algorithms become more widely adopted in healthcare applications, there is a greater emphasis on understanding and addressing potential privacy risks associated with ...
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