… So it is easy to train and optimize its network structure. Based on … Integrating of convolutional
neural network and recurrent … 的理解 CNN,下面以一维CNN(1D CNN)为例,2D 和 3D CNN 可…

… major adverse cardiovascular events in pa⁃ tients with stable … Incorporating secondary
structure for identification of lysine … feature optimization. Bioinformatics,2018, 34(23):3999-4006. …

… typical feature extraction and classification approaches in detail. … Entropies for automated
detection of coronary artery disease … Integrating convolutional neural networks and probabilistic …

… such as tumors, cardiovascular and cerebrovascular diseases… This article summarizes the
learning optimization of ResNet. … swarm optimization(PSo)+convolutional neural network(CNN)…

… Santos 等人[44]利用CNN 来捕获词序 列的语义信息,准确识别出医疗命名实体. 曹春萍等 人[17]通过
设定CNN 不同的卷积窗口大小,捕获更丰富 的边界特征信息. CNN 变种迭代膨胀卷积…

… 另有研究人员利用CNN 检 测乳腺癌的发生,使用45 000 多张… Integrating common and rare
genetic variation in diverse … college of cardiology/American heart association task force on …

: 针对现有预测方法中存在预测精度低, 预测时间长及存储空间大等问题, 提出一种基于格拉姆
矩阵和随机森林的疾病预测方法, 该方法首先从数据集中收集大量数据, 其次使用格拉姆对称矩阵…

… displayed better performance and was able to integrate to … Sleep apnea detection using
artificial bee colony optimize hermite … Regularity of heart rate fluctuations analysis in obstructive …

… in CVPR 2021 that incorporates the frequency and space … The local similarity learning module
will be further optimized in future … Predicting heart rate variations of deepfake videos using …

… Due to the quick response ability of fully integrating video spatio-… of deep convolutional
neural network (CNN)further:2D convolution,… Some effects can be optimized. The reconstruction …