CCEAI

Chinese herbal medicine (CHM) plays a key role in restoring the balance of the body for sick people and maintaining health for common people. Automated identification of CHM using images is a challenging task owing to the fine-grained variability in the ...

The barrage is a communication method in the webcast environment. It has the characteristics of freedom and openness, fun and vividness. However, the live barrage often mixes content that deviates from mainstream values. In order to better manage the ...

With the popularization and popularization of electric vehicles, the interaction between electric vehicles and power grid and transportation networks is getting deeper and deeper. Considering the multi-data fusion characteristics of dynamic driving ...

At present, the household load base number is large and the intelligent level is low. Artificial intelligence technology can provide novel ideas for improving the intelligent degree of home energy management. Household load has great demand response ...

Brain-machine interfaces (BMIs) have been developed for healthy individuals to control external devices. However, like all the existing BMIs, a time-consuming training process is required. To address this problem, a semi-supervised decoding framework is ...

Expert recommendation plays an important role in academic peer evaluation activities, because their gradual evaluation will influence the final decision. In this paper, we propose a review expert recommendation (RER) method based on comprehensive ...

Precise and effective prediction of aberrant pathway activity in tumors will aid in identification for the selection of targeted drugs. Herein we develop an XGBoost-based machine learning method, called XPPA. It detects the extent to which alterations ...

Because of the convenience of the social platform, the spread of the rumors has become more and more serious. Rumors will not only propagate misinformation but may also affect people's normal lives and even cause panic among the people. Many researchers ...

Autism Spectrum Disorder (ASD) is a developmental disorder that restricts the development of behaviors, communication, and learning skills. People with ASD have difficulties in communicating and engaging with other people. Presently, a questionnaire ...

The superiority of Automated Guided Vehicle (AGV) fleet management system is often reflected in the time-efficient on overall dispatch/navigation. The reinforcement learning can then be applied to help provide an optimal route planning for such fleet. ...

Controlling the pressure of oil wells during drilling can be one of the most complex and dangerous processes operating stage. This study proposes the design of an internal model controller (IMC) to control the pressure at the bottom of wells during ...

All kinds of oilfield production process is very strict, especially in offshore heavy oil field, in order to grasp the downhole conditions all the time, develop oil and gas resources with low power consumption, and improve the collection rate, it is ...

For the maglev control system, when considering the elasticity of the track, the order of the system model is high, the controller design is complex, and the practicability is poor. In order to reduce the complexity of the controller design and enhance ...

To solve the problem of sparse semantic representation in semantic processing, this paper designs and develops a semantic engineering platform, which involves the accumulation of knowledge and common sense in the whole process of resolving primary ...

Electromagnetic flowmeter (EMFM) plays an important role in many production processes such as industry, medicine and agriculture. According to the measurement principle, the traditional electromagnetic flowmeter must have a large-size excitation module ...

In order to meet the requirements of wear resistance test of rock anchor bit for coal mine, this paper analyzes the development status of wear resistance test technology of rock anchor bit for coal mine, studies common wear resistance test methods and ...

With more and more applications of DC microgrids in power systems, reasonable control methods need to be adopted so that DC microgrids can be connected to large power grids in a friendly manner. Most DC microgrids use power electronic converters to ...

Face anti-spoofing is a crucial real-word detection problem in face recognition systems, which has a rapid development with the blooming of convolution neural network. The recently proposed CASIA-SURF CeFA dataset [1] is the largest multi-modal dataset ...

Single-trial electroencephalography (EEG) image classification algorithms mainly depend on P300 component detection. To overcome the P300 latency instability, an enhanced hierarchical discriminant component analysis (eHDCA) algorithm is proposed based ...

As a pioneer work in the field of Image Quality Assessment (IQA), Structure Similarity (SSIM) has been widely used to evaluate the output quality of imaging systems and algorithms. However, the classical implementation of SSIM is inherent of isotropic ...

In recent years, deep convolutional neural networks (CNNs) have achieved great success in computer vision tasks. However, they are often perceived as "black box" methods for the lack of interpretability. In this work, we propose an approach to alleviate ...

Click-through rate prediction is a core research issue in recommendation systems and online advertising, playing a pivotal role in the entire Internet field. This article mainly integrates the LSTM module and the attention module into the DeepFM ...

In recent years, gesture recognition has developed rapidly in non-contact Human-Computer Interaction(HCI).This paper presents an efficient hand gesture recognition system for HCI based on Impulse-Radio Ultra-Wideband (IR-UWB) radar using ShuffleNet V2, ...

Target detection is one of the most important contents in computer vision, which has been widely and effectively applied in production, daily life, and military. The target detection technology based on deep learning has gone far beyond the traditional ...

The neural network models based on word embedding have achieved remarkable results in text classification. Even so, these models hardly consider that the importance of each word and labels for text classification is beneficial to obtain informative text ...

The new coronavirus can spread through respiratory droplets, and wearing a mask correctly can effectively prevent the virus from spreading. However, the current detection algorithms are based on unobstructed faces, which affects the detection task when ...

The control strategy of exoskeleton robots is currently a hot research topic at home and abroad. How to accurately recognize human gait and improve the real-time performance of the system has always been the main research direction in this field. First, ...

The combination of the part features and attention mechanism has been made remarkable progress in Person Re-IDentification (REID), but part-based approaches are still ignoring the relations of inter-part and missing discriminative local feature ...