ICBDT

Conventional spoken language understanding (SLU) consist of two stages, the first stage maps speech to text by automatic speech recognition (ASR), and the second stage maps text to intent by natural language understanding (NLU). End-to-end SLU maps ...

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 ...

With the advent of the era of big data, a large number of online evaluation information by customers has emerged, which plays an important role in evaluating and improving the quality of services and products of the enterprises. Aiming at the problem of ...

Based on the problems existing in the MTI training process in China, this paper combs the current situation of teachers and students in the post-epidemic era, and provides new ideas for MTI teaching under the context of business. By means of ...

With the improvement of residents' consumption level, consumers' demand for all kinds of imported consumer goods has gradually increased, but its quality problem can not be ignored. The quality governance of consumer goods is particularly important, ...

Real Estate Investment Trusts (REITs) receive increasing attention in China, with underlying assets involving shopping centers, office buildings, retail stores, rental and residential real estate properties, and infrastructures. Due to double taxation ...

With the gradual expansion of the work order data of the electric customer service system, the reliance on manual experience has led to low processing timeliness, unable to effectively discover the true demands of customers, and thus unable to provide ...

As the core institutions of education, universities can effectively promote the development of regional economy in education and scientific research, and enhance the scale and depth of service-oriented economy. The development of Internet information ...

Remote sensing images play an important role in acquiring geographic data, acquiring earth resources and emergency disasters. However, the obtained remote sensing images often have some problems, such as low contrast, poor visibility, blur and so on. ...

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 ...

In order to obtain travel advice and route information more intuitively, efficiently and intelligently, it's necessary to establish a more intelligent information retrieval way. By defining events in the tourism field, this paper constructs the ...

In the traditional medical treatment, the number of hospital patients is too large, the medical resources are too tight, and the accumulated medical knowledge is difficult to be fully utilized. With the help of the Internet and artificial intelligence ...

With the rapid growth of blockchain data, the storage cost of maintaining the full node of a blockchain is getting higher and higher. This has led to the gradual weakening of the decentralization of the blockchain, increasing the risk of 51% attacks on ...

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 ...

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 ...

With the development of big data and cloud computing, traffic travel services are increasing and showing diversified development. For traffic travel service selection, this paper establishes a multi-objective optimization model from the two dimensions ...

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 ...

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 ...

In order to solve the problem of low transaction throughput in blockchain cryptocurrencies, many researches start from the consensus mechanism, while few researches on the broadcast mechanism of blockchain. Therefore, we propose an improved blockchain ...

Human action detection is a hot topic, which is widely used in video surveillance, human–machine interface, healthcare monitoring, gaming, dancing training and musical instrument teaching. As inertial sensors are low cost, portable, and having no ...

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, ...

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 ...

Since early 2020 Covid-19 has casted great shadow to everyone worldwide. Due to large number of infected and death cases, accurate predictions can help the government and medical divisions in pandemic preparedness and prevention. In this paper, we used ...

In order to explore the research hotspots and trends of e-commerce big data in China, the paper takes the relevant journal literatures with the theme of "e-commerce" and "big data" in CNKI as the research samples. With the help of the software CiteSpace,...

Phrase search, as a special multi-keyword search, plays an important role in many application scenarios. It not only requires the searched keywords are consecutive, but also the location relation of searched keywords is fixed. To save local storage, ...

This paper redefines the Collatz conjecture and proposes the strong Collatz conjecture, which is a sufficient condition for the Collatz conjecture. Based on the computer data structure–tree, we construct a non-negative integer inheritance decimal tree. ...

In the era of big data, technology iteration is accelerating and technology complexity is increasing. In this context, firms could not keep up with the pace of technological progress only by internal research and development. Thus, external technology ...

Due to the rapid advance of informationization process, in the process of test data accumulated a large number of product features, product features data exponentially, traditional product characteristics data rendering is often divided into the ...

Musical instruments recognition is a widely used application for music information retrieval. As most of previous musical instruments recognition dataset focus on western musical instruments, it is difficult for researcher to study and evaluate the area ...