… pretrained ResNet network model for the diagnosis of COVID… Group with 19 layers (VGG19)
CNN with machine learning … It is further optimized based on the AlexNet model and is able to …

… Recently, deep learning has achieved impressive results in … the model's understanding of
medical images and diagnostic … 冠状病毒感染（corona virus disease 2019，COVID-19）诊断 [10] …

… 在machine learning(机器学习),blockchain (区块链),COVID-19与… Deep reinforcement learning
for optimal critical care pain … disease diagnosis using hierarchical reinforcement learning[C]…

… can be optimized based on the existing pre-training models like … Key words:deep
learning(DL);medical image captioning;… cancer images and its diagnostic reports,BCIDR)数据集…

… I have been diagnosed for about 5 years… … Data set creation and empirical analysis
for detecting signs of … from social media text using RoBERTa pre-trained language models[C]∥…

… future methods and technologies for machine learning (ML) for … 机器学习优化投资组合 投资
组合优化(portfolio optimization)是… 预训练数据(pretraining data)和目标COVID-19 患者 数据之间…

… Is word segmentation necessary for deep learning of Chinese … of “the diagnosis and treatment
plan for COVID-19 (the tenth … An optimization method of weighted network module partition …

… 最小优化算法(sequential minimal optimization,SMO) 识别人格… based on document modeling
using machine learning tools[J]. … Review of research on auxiliary diagnosis of autism based …

… Design optimization of multilayer perceptron neural network by ant colony optimization …
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?[J].…

… proposing deep learning models for recommendation … The COVID-19 pandemic has
significantly impacted the e-… It’s worth noting that this study employed pre-trained models for …