Titlebook: Intelligent Computing Methodologies; 16th International C De-Shuang Huang,Prashan Premaratne Conference proceedings 2020 Springer Nature Sw

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书目名称Intelligent Computing Methodologies影响因子(影响力)




书目名称Intelligent Computing Methodologies影响因子(影响力)学科排名




书目名称Intelligent Computing Methodologies网络公开度




书目名称Intelligent Computing Methodologies网络公开度学科排名




书目名称Intelligent Computing Methodologies被引频次




书目名称Intelligent Computing Methodologies被引频次学科排名




书目名称Intelligent Computing Methodologies年度引用




书目名称Intelligent Computing Methodologies年度引用学科排名




书目名称Intelligent Computing Methodologies读者反馈




书目名称Intelligent Computing Methodologies读者反馈学科排名

灾祸

Intelligent Computing Methodologies978-3-030-60796-8Series ISSN 0302-9743 Series E-ISSN 1611-3349

COKE

https://doi.org/10.1007/978-3-030-60796-8classification; clustering algorithms; computer networks; computer vision; correlation analysis; data min

MUTED

ellagic-acid

Identification of Diseases and Pests in Tomato Plants Through Artificial Visionhas been applied to the dataset, obtaining texture descriptors with the Haralick and LBP algorithm, and chromatic descriptors through the Hu moments, Fourier descriptors, discrete cosine transform DCT and Gabor characteristics; finally, classification algorithms such as: SVM, Backpropagation, Naive

Bereavement

箴言

lobster

LiDAR-Camera-Based Deep Dense Fusion for Robust 3D Object Detectionti-sensor-based methods on all three classes on moderate difficulty (3D/BEV): Car (75.60%/88.65%), Pedestrian (64.36%/66.98%), Cyclist (57.53%/57.30%). Specifically, the DDF3D greatly improves the detection accuracy of hard difficulty in 2D detection with an 88.19% accuracy for the car class.

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