Titlebook: Security and Privacy in Digital Economy; First International Shui Yu,Peter Mueller,Jiangbo Qian Conference proceedings 2020 Springer Natur

令人心醉

Gongxuan Zhang,Mingyue Zhang,Xinyi Fanor to select the optimal feature vectors. At last, deep convolutional neural network (DCNN) was applied to classify the person’s facial image. The experimental result proves that the proposed model improved recognition accuracy up to 1.78–8.90% compared to the earlier research works such as improved

Bricklayer

抵消

Hongbin Fan,Yining Liu,Zhixin Zengrough his speech. Mainly, secret commands are used for the interaction with the middleware. Raspberry Pi is the backbone of the system. It operates as a middleware, in the system architecture. Wireless nodes used in this system are called as Node MCU, and this Node MCU is placed in each classroom. A

Iniquitous

Xianjin Fang,Qingkui Zeng,Gaoming Yang have discovered restricted proof for a relationship between specialist emotional intelligence (EI) and the patient-doctor relationship (PDR). Constant improvements in management of OPD through new policies are essential for better patient management and for proper utilization of skill, expertise, a

顛簸下上

Datong Wu,Xiaotong Wu,Jiaquan Gao,Genlin Ji,Xiaolong Xu,Lianyong Qi,Wanchun Douoposed for MANETs. This paper mainly focuses on designing and developing a Machine Learning-based model using the K-means clustering method that classifies the congestion into fewer nodes for packet transmission by considering the QoS parameters such as bandwidth, delay, throughput, packet delivery

Cerumen

Wallow

Feng Wusing RPL and identify the principal features affecting the network lifetime. The network setup is simulated using the Cooja simulator, a dataset is created with multiple network parameters and consequently, the features are selected using the Machine Learning (ML) technique. It is inferred from the

滑稽

Datong Wu,Xiaotong Wu,Jiaquan Gao,Genlin Ji,Taotao Wu,Xuyun Zhang,Wanchun Doued for the classification of television advertising ratings. The results of this study can provide one of the options for advertising companies to provide offers related to the prediction of television ratings to advertisers as one of the considerations in choosing a television station.

BOOST

單色

Ying Zhao,Junjun Chen,Qianling Guo,Jian Teng,Di Wu analysis shows that there is a direct relationship between the mediating variables supply chain dynamism and supply chain resilience and supply chain performance. These results provide an insight into the relationship between artificial intelligence and supply chains, and the Moderating variable on