In order to improve the effect of small target detection, this paper proposes a small target detection method based on dilated convolution and bidirectional feature fusion, on the basis of YOLOv7 algorithm, the sensor...
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This paper conducts a numerical simulation focusing on Liquefied Natural Gas (LNG) tanker leakage within tunnels, investigating the influence of wind speed on the leakage and dispersion. The results indicate that as w...
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This paper explores the integration of Wireless Sensor Network (WSN) into smart city lighting systems, emphasizing the transformative potential and challenges associated with this technology. WSN technology enhances u...
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This research presents an innovative adaptive list reorganization strategy aimed at minimizing the total access cost for dynamic sequences. The proposed algorithm leverages a dual-parameter approach combining Logit an...
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This paper proposes a new ant colony optimization for Multi-Label Correlation-Based Feature Selection (ACO-ML-CFS). This ACO performs a global search within the space of candidate features to identify an optimal subse...
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This research work proposes an innovative method for enhancing facial recognition accuracy and efficiency by leveraging active facial patches and a Multi-Task Cascaded Convolutional Network (MTCNN). The review assesse...
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The electronic safety and arming device test system is developed to ensure the reliability of weapon systems. In view of the low test efficiency and high requirements for testers in manual testing during the current t...
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In recent years, computer vision technology has advanced rapidly, particularly in the area of intelligent analysis using image recognition. This paper proposes an image recognition algorithm based on the YOLOv5 model,...
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Target detection and recognition are crucial research areas in computer vision, focusing on the identification of specific objects or targets within images or videos. This technology is vital for numerous real-world a...
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