Evaluating the effectiveness of classroom teaching is challenging, and one potential solution is the implementation of intelligent classrooms. A key difficulty in intelligent classrooms lies in accurately identifying ...
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This paper addresses the challenges in integrating Metaverse Recordings in multimedia Information Retrieval as a new type of multimedia. Specifically, we describe the characteristics of video content and explain the k...
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Aiming at the classical correlation filter target tracking method in the field of computer vision, the content and steps of the correlation filter target tracking method were studied and analyzed, and its shortcomings...
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With the rise of precision agriculture, efficiently identifying fruit tree locations and optimizing operational paths have become increasingly challenging. To address these issues, we developed an integrated path auto...
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In today's fast-paced business environment, making informed decisions is crucial for success. To achieve this, decision-makers are increasingly turning to data-oriented and business intelligence databases. As a re...
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Target tracking plays an important role in many real-world applications, such as in vegetation protection, disaster rescue, wildlife observation, etc. multiple unmanned aerial vehicles (multi-UAVs) can provide effecti...
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This research focuses on enhancing the efficiency of Atmospheric Water Generation (AWG) systems through the development of an accurate weather prediction model. Leveraging solar energy data, the project aims to foreca...
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During the explosion process of a certain type of explosive, shock waves and pulse noise can cause damage to the hearing system. COMSOL software was used for simulation to convert shock waves into sound pressure value...
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Nowadays, robotics is increasingly employed in everyday-life applications. As a result, the focus of this study is on how to develop and operate an Arduino-based mecanum wheel robot that is able to move in any directi...
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This research concerns binary classification of Invasive Ductal Carcinoma (IDC) using two deep learning models, Convolutional Neural Networks (CNNs) along with Vision Transformers (ViTs). We use three different datase...
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