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Image Segmentation Method of Chinese Yam Leaves in Complex Background Based on Improved ENet
Published 2024-11-01“…This paper established a diverse Chinese yam image dataset and proposesd a deep learning-based method for Chinese yam leaf image segmentation. …”
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RF-AIRCGR: Lightweight Convolutional Neural Network-Based RFID Chinese Character Gesture Recognition Research
Published 2024-01-01“…In this paper, we propose RF-AIRCGR as a fine-grained hand gesture recognition system for Chinese characters. It enables information input and querying through gestures in contactless scenarios, which is of great significance for both medical and educational applications. …”
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Automatic Multitarget Detection Method Based on Distributed Through-wall Radar
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Chrysanthemum classification method integrating deep visual features from both the front and back sides
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A Novel FEM-Based Numerical Solver for Interactive Catheter Simulation in Virtual Catheterization
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Phoneme analysis for multiple languages with fuzzy‐based speaker identification
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Geometrical Distances of Extragalactic Binaries through Spectroastrometry
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Effect of Seismic Frequency Spectra on Surrounding Rock Damage Evolution of Large Underground Caverns
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ASDNet: An Efficient Self-Supervised Convolutional Network for Anomalous Sound Detection
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Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition
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Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers
Published 2024-11-01“…This study aims to develop a targeted spray control system based on deep learning technology, explore the relationship between the advance speed, spray volume, and coverage of the sprayer, thereby addressing the uneven application issues caused by different nebulizer speeds by studying the real scenario of calcium administration to Chinese cabbage hearts.[Methods]The targeted spraying control system incorporates advanced sensors and computing equipment that were capable of obtaining real-time data regarding the location of crops and the surrounding environmental conditions. …”
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