ICCDA

Decreasing the usage of profanity terms can reduce a toxic environment, create a clean language culture towards the z-generation who is now exploring the online world. To understand how intensive is profanity usage in social media platforms, we ...

Emoticons have been widely used in virtual communications to represent facial expressions of emotion. It often contains a hidden value when it is used along with text messages. However, not all sentiment tools can measure the sentiment of emojis. This ...

On Twitter, a user can create multiple accounts and tweet to express emotions or talk about something in the accounts. Tweets reflect the user’s emotions and topics of interest, however, the similarity of emotion and topic across his or her multiple ...

As for the situation that the text content is long and contains much information irrelevant to the subject, which affects the performance of text classification. This paper proposes a multi-feature fusion method with attention mechanism for long text ...

Crime is one of the most permanent and troubling issues for societies and law enforcement agencies, and it costs dearly in several ways. In recent years, criminal justice agencies headed for Deep Learning, Data Mining, and Machine Learning (ML) to help ...

This article illustrates the connection between a time series of counts and pure birth processes. The rejection of the Poisson INARCH (1) model is so universal in real applications. A reasonable explanation is that the Poisson process is a pure birth ...

Microarray gene expression data contain an unbalanced distribution of data samples among different classes, which poses a challenge to machine learning-based cancer diagnosis. In addition, microarray data consists of small samples and a huge number of ...

Typhoon rainstorm is one of the main manifestations of typhoon disasters. Predicting precipitation caused by a typhoon is vital for flood control and disaster mitigation. Herein, we present a typhoon precipitation prediction model which consists of two ...

The existence of missing values brings inconvenience to data mining. In this paper, we propose a residual gated recurrent unit (GRU) and auto-associative neural network (AANN) based imputation method to impute missing values of multivariate time series. ...

To protect the vulnerable groups in traffic environment, this paper proposes a V2P protection method with multi-sensor in foggy scene.Firstly, lidar and camera are combined to achieve mapping 3D point cloud data to the 2D plane to form a sparse point ...

Recognizing 3D objects from heavily cluttered and occluded 3D scenes is a very challenging task. This paper addresses this problem by developing a 3D object recognition method based on local and global geometric consistency constraints. Assuming an ...

Shadow detection of remote sensing images is an essential work, as the presence of shadow always reduce the robustness of computer vision algorithms such as image segmentation, object recognition, target tracking and feature extraction. In this paper, a ...

Spike neural networks (SNNs), as a network structure closer to biological neurons, have been applied to many machine learning fields because of their high computing capability. However, due to its high hardware requirements and difficulty in training, ...

In affective computing, several deep learning-based strategies have been developed to classify facial micro-expression (ME), but the high recognition accuracy is yet to achieve due to some inherent challenges such as the low intensity of facial micro ...

Automatic detection of road cracks is one of the significant aspects of road maintenance systems. However, it involves a lot of complexities to accurately identify the cracks because of various reasons such as heterogeneity of traffic conditions, ...

As the basic support for the efficient operation and maintenance of the production and management information business in the electric-power industry such as State Grid Corporation of China (short for State Grid), the construction, operation and ...

Many industries have been impacted, and some have been force to shut down as a result of the pandemic outbreak, . Meanwhile, e-commerce has survived and thrived. Since then, online shopping grown in popularity. Consumers are encouraged to stay at home ...

The COVID-19 pandemic has been one of the most highly discussed topics throughout its entire lifespan. This pandemic has caused huge losses throughout the world, ranging from economic losses to a massive death toll of over five million that is still ...

The outbreak of COVID-19 has been a critical social event in the past two years. The pandemic has seriously affected the world. Meanwhile, various forms of data about COVD-19 emerge on the Web endlessly, such as SNS discussions, Press releases, WHO ...

For learners of Chinese as a second language, it is difficult to learn Chinese in the target language environment. With the large-scale applications of intelligent technology in Chinese international education, Chinese teaching is moving towards ...

Under the guidance of the National Development and Reform Commission of China, the Ministry of Natural Resources, the Ministry of Ecology and Environment, the National Energy Administration and other departments responded positively, and finally ...