Boiling is arguably Nature's most effective thermal management mechanism that cools
submersed matter through bubble-induced advective transport. Central to the boiling …

Scene text recognition is a popular research topic which is also extensively utilized in the
industry. Although many methods have achieved satisfactory performance for the close-set …

In the context of automatic medical image segmentation based on statistical learning, raters'
variability of ground truth segmentations in training datasets is a widely recognized issue …

Classification algorithms integrated with convolutional neural networks (CNN) display high
accuracies in synthetic aperture radar (SAR) image classification. However, their …

In this work, a land cover classification methodology has been investigated using very high
resolution multi-temporal remotely sensed images. The technique is developed considering …

针对传统降噪算法损伤高信噪比(SNR) 信号而造成信号识别准确率下降的问题,
该文提出基于卷积神经网络的信噪比分类算法, 该算法利用卷积神经网络对信号进行特征提取 …

Considering the problem that the traditional noise reduction algorithm damages the high
Signal-to-Noise Ratio (SNR) signal and reduces the accuracy of signal recognition, a SNR …

In the pursuit of develo** an efficient and harmonious human-computer interaction
interface, Emotion Recognition in Conversations (ERC) is particularly important. It requires …

China is the world's largest pork production and consumption country, with the improvement
of people's living standards and consumption upgrade, people's demand for fresh pork and …

This paper attempts to apply neural networks to classify images of 10 different animals. The
dataset of the classification model is derived from tens of thousands of animal maps on the …