… a scene-driven security testing system. Our work proposes a … The image captured by the
on-board camera in the country … testing framework for deep neural networks[C]//Proc of the …

… verify the simulation system, and the actual vehicle test data were compared with the simulation
results using the two models… distance measurement system based on machine vision[D]. …

… topic modeling is that it is an unsupervised learning algorithm and hence does not require
any labeled data … We then provide validation tests to show if our topical measures can capture …

… 此外, PLSR采用留一法交叉验证(leave-oneout cross validation), 即每次用n – 1个样本进行…
with PLSR in hyperspectral data generated by unmanned aerial vehicle snapshot camera. Acta …

… with classical machine learning methods using standard … along with the camera to capture
microscopic images in the … Our automatic malaria testing machine is very useful for malaria …

… 英文摘要 Deep learning is a branch of machine learning … camera imaging models are utilized
to generate synthetic … method based on deep learning in the real testing dataset and the …

… -proof. An efficient framework [63] is required to process and compute the huge data collection
using a machine learning … system using deep neural networks, Comput. Electron. Agric. …

… , and early screening and testing is particularly important at … weakens the existence of the
camera and plays the role of “no … , two traditional machine learning models, K Near Neighbor (…

… of the deep learning model were verified, and finally the model … to explore the role of digital
camera images in specie-scale phenology … Machine learning models does not have any prior …

… average error of the best model was verified to be within 10% … [38] used a deep neural network
for production quality. Their … It is fundamental to the application of machine learning and is …