Hamsters exhibit a variety of breeds, making breed identification challenging at first glance. This study proposes a solution using Convolutional Neural Networks (CNNs), specifically VGG16 architecture, to aid pet own...
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Over the past few decades, photovoltaic (PV) systems have significantly increased their power generation rate. Various environmental conditions, namely dust deposition on PV panels, have significantly decreased PV ene...
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The detection of small objects and high aspect ratio objects is a challenge for remote sensing image object detection. In this paper, we refer to these objects as extreme objects. The Attention-Based Multigranular Ext...
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This study proposes a data-driven approach to educational game design, utilizing user feedback and reviews to identify key factors contributing to the success or failure of educational games. By analyzing reviews of p...
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This paper proposes a system for human-computer interaction using video gesture extraction. The system includes four modules: video acquisition and separation, image preprocessing, gesture extraction and recognition, ...
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ISBN:
(数字)9781665408370
ISBN:
(纸本)9781665408387;9781665408370
This paper proposes a system for human-computer interaction using video gesture extraction. The system includes four modules: video acquisition and separation, image preprocessing, gesture extraction and recognition, and virtual reality human-computer interaction. This paper proposes a system for human-computer interaction using video gesture extraction. The system includes four modules: video acquisition and separation, image preprocessing, gesture extraction and recognition, and virtual reality human-computer interaction. Among them, the contour feature should be listed by the LCS description method. This article also uses three methods to describe the characteristics of dynamic gestures, which are static gesture sequence, fingertip movement feature, and palm movement feature. The static gesture sequence refers to a set of ordered static gesture numbers.
Model Predictive Control (MPC) is commonly used to solve flight control problems in quadrotors due to its ability to handle multivariate and practical constraints. Considering its computational problem, which may lead...
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Currently, the knowledge representation learning methods are based on knowledge background information and integrated with the calculation related to correlation strength, type matching degree, and multi-part path. Ho...
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The increasing prevalence of DeepFake technology poses significant threats to various industries and public trust, making the development of robust detection methods crucial. In this study, we propose a novel approach...
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Remote photoplethysmography (rPPG) is a non-contact method that can be used to estimate heart rate (HR) from facial video. Many regions of interest (ROI) on the face were suggested for the rPPG signal extraction, such...
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Tagging based relational triple extraction methods have recently gained significant research attention. However, most of these methods suffer from the limitation of a unidirectional extraction framework. This framewor...
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