Linzhe Zhang
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View article: SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification
SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification Open
Introduction Accurate identification of maize seed varieties is essential for enhancing crop yield and ensuring genetic purity in breeding programs. Methods This study establishes a non-destructive classification approach based on hyperspe…
View article: Variety Identification of Corn Seeds Based on Hyperspectral Imaging and Convolutional Neural Network
Variety Identification of Corn Seeds Based on Hyperspectral Imaging and Convolutional Neural Network Open
Corn as a key food crop, has a wide range of varieties with similar appearances, making manual classification challenging. Thus, fast and non-destructive seed variety identification is crucial for improving yield and quality. Hyperspectral…
View article: Driver Head–Hand Cooperative Action Recognition Based on FMCW Millimeter-Wave Radar and Deep Learning
Driver Head–Hand Cooperative Action Recognition Based on FMCW Millimeter-Wave Radar and Deep Learning Open
Driver status plays a critical role in ensuring driving safety. However, the current visual recognition-based methods for detecting driver actions and status are often limited to factors such as ambient light condition, occlusion, and priv…