Drug and compound similarity retrieval is very important for new drug research and development. Most pharmaceutical database provide keyword searching service. Because keyword search method cannot identify entity semantic similarity information, so the ...

Patent data mining is a new research field gradually highlighted in recent years. The topic "enterprise innovation mechanism in the context of patent cooperation network" attracted more and more attention. Starting from the essence of network graph, ...

Public opinion in online social network is currently an important topic related to our life closely, however, the research on public opinion guidance lacks a theoretical system and leveraging machine learning to deal with public opinion guidance is even ...

Accurate business prediction provides a good understanding of individual business trends and has a significant impact on reducing overall operating costs and ensuring a high level of customer service quality. Currently, artificial intelligence and big ...

In the face of massive electronic medical record data, discovering the relationship between symptoms and diagnosis can help doctors improve the efficiency of clinical diagnosis and treatment. An end-to-end method based on deep learning for disease ...

In order to solve the problem that traditional word vectors are difficult to express the context semantics and the feature extraction of traditional model is single, a multi-feature fusion model named BERT-BiLSTM-IDCNN-Attention-CRF for Named Entity ...

Abstract. Power generation prediction of residential photovoltaic systems has always been a more and more crucial topic when such new types of energy have been widely applied in people's daily life. In this paper, the four seasons are identified more ...

The new type of coronavirus pneumonia (COVID-19) is spreading around the world, and one of the main reasons is the low detection efficiency and lack of detection materials. Image recognition algorithms based on deep learning are an effective method to ...