Block chain era can cope with many safety and performance challenges in subsequent technology 6G networks. This summary explores the combination of block chain generation into 6G networks to enhance security and effic...
详细信息
At present, the demand for the simulation technology of infrared view is markedly expanding. However, the related main research orientations are influenced by numerous factors. Thus, the availability of infrared image...
详细信息
Denial of Service attack detection plays a significant role in the field of digital information exchange security, and log messages recording detailed system runtime information has become an important data analysis o...
详细信息
Recent developments in the area of research on sign language recognition have led to making use of deep learning techniques with the goal to assist the self-learning transition of sign language from one language to an...
详细信息
Online forums are becoming increasingly popular, increasing the demand for efficient ways to handle user-generated information. In order to identify hate speech in user-generated content, this project offers a questio...
详细信息
Although deep learning methods have recently attracted considerable attention in the medical field,analyzing large-scale electronic health record data is still a difficult *** particular,the accurate recognition of he...
详细信息
Although deep learning methods have recently attracted considerable attention in the medical field,analyzing large-scale electronic health record data is still a difficult *** particular,the accurate recognition of heart failure is a key technology for doctors to make reasonable treatment *** study uses data from the Medical information Mart for Intensive Care *** with structured data,unstructured data contain abundant patient ***,this type of data has unsatisfactory characteristics,e.g.,many colloquial vocabularies and sparse *** solve these problems,we propose the KTI-RNN model for unstructured data *** proposed model overcomes sparse content and obtains good classification *** term frequency-inverse word frequency(TF-IWF)model is used to extract the keyword *** latent dirichlet allocation(LDA)model is adopted to extract the topic word *** models enable the expansion of the medical record text ***,we embed the global attention mechanism and gating mechanism between the bidirectional recurrent neural network(BiRNN)model and the output *** call it gated-attention-BiRNN(GA-BiRNN)and use it to identify heart failure from extensive medical *** show that the F 1 score of the proposed KTI-RNN model is 85.57%,and the accuracy rate of the proposed KTI-RNN model is 85.59%.
With the increase in video surveillance technology, modern human beings have more viable options to enhance safety, security, and monitoring. Automatic video surveillance is an option that provides remote monitoring w...
详细信息
At present, the open stopping with subsequent filling mining of the 'two step' mode has received significant attention. The recovery method entails dividing the ore block into the first step ore room and the s...
详细信息
Term weight is utilized as a baseline classifier with text classification and other text mining techniques used for a significant increase in efficiency. The words, documents, and datasets are taken into consideration...
详细信息
Generative AI is reshaping education by offering personalized learning experiences and innovative teaching methods. In this study, we introduced ChemGenX, an AI tool designed to enhance chemistry education by generati...
详细信息
暂无评论