In this work, we present milliGait, a user identification using gait patterns captured by millimeter wave (mmWave) radar technology. milliGait takes into account the unique movement signatures of individuals to enable...
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Despite the growing efforts to tackle the issue of marine pollution, the accurate and effective detection of oceanic litter remains a chronic difficulty. The development of a reliable deep learning-based system is vit...
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In a time of accelerating technology development, the fast-food business is constantly looking for new ways to improve client experiences. To improve and streamline the client order-taking procedure, this research stu...
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Our research underscores the critical need to address escalating vehicular pollution amid rapid urbanization and soaring vehicle numbers. This pervasive issue poses grave threats to both the environment and public hea...
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With this work, a technical method for identifying Indian Sign Language is attempted to be developed. This work attempted to create a system for recognizing the hand movements from Indian Sign Language using machine l...
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IoT networks employ the RPL routing protocol as it is lightweight and suitable for lossy networks and establishes a Destination Oriented Directed Acyclic Graph (DODAG). The primary constraints on RPL-based networks ar...
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Detecting AI-generated text has become increasingly prominent. This paper presents our solution for the DAIGenC Task 1 Subtask 2, where we address the challenge of distinguishing human-authored text from machine-gener...
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The excess growth of digital information on the Internet and the excessive use by many users have created an issue of information over-load, where the data remains unfiltered and uncategorized. Many large corporations...
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In the arena of electronics, the Printed Circuit Board (PCB) forms the cornerstone of every component, extending from everyday gadgets to advanced defense equipment. The escalating pace of modern life necessitates acc...
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