CCEAI

In this paper, a new control scheme using exponential-type barrier Lyapunov function (EBLF) is proposed for human-robot interaction, which can achieve high-performance trajectory tracking without dependence on the initial value. It has shown that the ...

Recently, Multimodal Sentiment Analysis (MSA) has become a hot research topic of cross modal research in artificial intelligence domain. For this task, the research focuses on extract comprehensive information which dispersed in different modalities. ...

With the advancement of deep learning technology, using deep convolutional neural network to figure out image classification has always been a research hotspot. At present, the incidence rate of high myopia is increasing. High myopia can cause ...

In short-term passenger flow forecasting, thanks to big data analysis, we can obtain a large number of influencing factors describing the change of station passenger flow. Although this information provides a good basis for passenger flow forecasting, ...

Web crawler is a kind of computer program to browse the World Wide Web (WWW) automatically and efficiently. In the information age, due to the explosive growth of Internet pages, it has become exceedingly difficult and time-consuming for people to ...

Garbage classification is of great significance to environmental protection and resource recycling. Now many countries have passed laws related to garbage classification, defining different types of garbage. However, in the process of implementing these ...

Electrocardiogram (ECG) is one of the main tools to diagnose arrhythmia. The accurate identification of ECG signal can not only help doctors make better diagnosis, but also prevent the occurrence of cardiovascular disease. However, the current ...

Abstract. With the amount increase of sensors and collection data, a large number of low-value data will be directly uploaded to the cloud server without screening in the application process of the Internet of Things, which will waste a lot of network ...

People and computers have different understandings of questions, and people have different needs for answers. For some questions, people may not need objective answers, but developmental opinions. This paper analyzes long and difficult questions in an ...

Pathological examination is an important diagnostic means for cancer, including clinical cytological examination and histopathological examination. In pathological examination, it is often necessary to judge the type of cells. According to identifying ...

By connecting building operations, building automation can be realized using mobile devices and AI processor. Aiming for improving living condition and reducing workloads, we designed a cyber-physical system to operate multiple infrastructure ...

In this study, aiming at the optimization problem of the production line of discrete aviation manufacturing enterprises, using traditional genetic algorithm to optimize and improve it has the disadvantages of slow convergence, easy to fall into local ...

Artificial intelligence now has different applications in various industrial fields. Reinforcement learning (RL) is one of the hot topics in the artificial intelligence, also in robotics. It is an important learning method in the field of robotic ...

Under the energy-saving and carbon-reduction policy, the drive horsepower required for empty and full load is used to distinguish between large and small motors, which can avoid the use of the required rated horsepower when empty load is used to full ...

The prediction accuracy of three kinds of centrifugal chiller regression models (Multivariable Polynomial Regression Model, BP-Artificial Neural Network Regression Model and Support Vector Regression Model) is analyzed using ASHRAE 1043-RP data, and the ...

When the terminal device moves under the cloud-fog cooperative, reasonable task assignment between fog nodes and cloud servers is a difficult problem and uncompleted tasks migration to maintain the continuity of tasks is another difficult problem. To ...

Most current many-objective optimization algorithms mainly attempt to construct various strategies to achieve convergence and maintain diversity. To simplify the complexity of algorithm design, we propose a many-objective optimization algorithm which ...

Abstract. The change point detection of time series is an urgent issue in the continuous casting quality control. A novel method based on Relevance vector machine (RVM) in the Bayesian framework is proposed for change points detection. First, the ...

The surface quality of aluminum ingot has a great influence on the subsequent rolling process, so defect detection is a critical step after milling. However, it is a challenging task, owing to multi-direction and multi-scale of milling texture pattern, ...

In recent years, facial image search has been widely used. Although offering considerable convenience, facial image search also poses a severe threat to people’s privacy. How to conduct facial image search while protecting privacy has become a ...

Abstract: We introduce a new type of text detection neural network, which can accurately locate the position of the text in a variety of complex environments and give the best rectangle containing them. It is composed of three parts, the first part is ...

Captcha recognition is a worthful work to study, since it does help Internet security and also promotes the field of pattern recognition. In this work, we concentrate on the attention mechanism to this classification task for ameliorating the function ...

As neural networks have made remarkable achievements in the field of image classification, a variety of adversarial attack methods have appeared to interfere with neural networks. Adversarial samples apply a tiny perturbation to the original image, ...