Titlebook: Computing and Data Science; Third International Weijia Cao,Aydogan Ozcan,Bei Guan Conference proceedings 2021 Springer Nature Singapore Pt

不適

Polyp Segmentation Using Fully Convolutional Neural Network with Dropout and CBAMimization techniques: convoluted block attention module and dropout. We conducted and evaluated experiments with performance metrics and concluded that convoluted block attention module and dropout have positive influence on the model, and our optimized model has advantage over some state-of-art models.

UNT

cliche

左右連貫

Evaluation of Quantization Techniques for Deep Neural Networks Post-training Quantization and Quantization-aware training. In addition, we also compare the results of different methods on two representative networks in DNNs: Resnet and Mobilenet, and analyse some ablation study. Further more, the remaining questions and future direction are summarized to boost the development of quantization method.

Robust

Evaluation of the Effectiveness of COVID-19 Prevention and Control Based on Modified SEIR Modeld by examinating Characteristic polynomial, and global stability is proved by constructing Lyapunov Function. In addition, the effect of the epidemic prevention measures are evaluated by numerical simulation. The research shows that the post exposure infection rate and quarantine rate are the most crucial parameters of this disease.

CUMB

含水層

Facet-Joints

燈絲

贊成你

https://doi.org/10.1007/978-1-4615-0693-5 Post-training Quantization and Quantization-aware training. In addition, we also compare the results of different methods on two representative networks in DNNs: Resnet and Mobilenet, and analyse some ablation study. Further more, the remaining questions and future direction are summarized to boost the development of quantization method.