In the realm of mobile robot path planning, this study integrates local path planning with the Frenét Frame, presenting an adaptive path planning approach. Firstly, the A∗ algorithm is employed to extract the sho...
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Hearing loss can be a significant challenge for individuals, affecting communication and quality of life. This project aims to address this problem by creating a device that converts sound signals into vibrations that...
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The rise in the Internet of Things (IoT)-based smart building construction process offers an acceptable fix to the challenging issues of energy administration, equitable expansion, and economic optimization as the num...
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In this study, we present a novel approach to enhancing video anomaly detection by integrating an Adaptive Prototypical Network (APN) with an Enhanced Meta-Prototypical Network (EMPN) within a 3D-convolutional neural ...
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The advent of the Internet of Things (IoT) has ushered in a new era of interconnected devices, necessitating innovative solutions to address the evolving challenges. This study introduces Dynamic Edge Learning for IoT...
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Due to the negligence of driver or to some exterior factors may cause many people lost their lives in road accidents. So, there is a vital requirement to develop an efficient and effective accident detection system wh...
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The advances in wheeled-legged robots in recent years have led to their proliferation in human environments. However, these robots still face significant challenges regarding non-flat terrain. Stair climbing is partic...
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Image processing over parallel computing involves leveraging multiple processors or computing cores to perform various tasks on images simultaneously, significantly improving the efficiency and speed of image processi...
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This paper explores the dynamic concept of digital signal processing (DSP), with a focus on the design and implementation of Infinite Impulse Response (IIR) bandpass filters. Emphasizing their pivotal role in diverse ...
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Learning from Demonstration (LfD) stands out as a powerful tool for swiftly deploying tasks in robotics, distinguished by its capacity to effectively leverage the task expertise of experts. However, contemporary robot...
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