Analyzing trajectory data can provide people with a higher quality of life. However, publishing trajectory data directly will leak privacy. The authors propose a trajectory data publication method based on differential privacy...
In the modern context, interior design has inevitably become a part of social culture. All kinds of modeling, decoration and furnishings in modern interior space show people's pursuit and desire for a better life. These...
In the multi-objective optimization algorithm, the parameter strategy has a huge impact on the performance of the algorithm, and it is difficult to set a set of parameters with excellent distribution and convergence performance...
This paper matches the large-scale survey data and the corresponding historical weather data to explore how air pollution impacts on low-carbon travel choices. The K-means algorithm is employed to cluster the personal...
Task-oriented dialogue systems aim to engage in interactive dialogue with people to ultimately complete specific tasks. Typical application domains include ticket booking, online shopping, and healthcare providing. Medical...
Given the rapid development of internet and dramatic change it has brought to human life, this study examines the effect of internet use on well-being in rural China. Findings indicate that the act of engaging with internet and...
Live streaming has become popular among various e-commerce models. As an efficient way of marketing, live streaming can stimulate consumers' impulse purchasing behavior by creating a compelling experience, flow experience. Even...
Users of wearable services are different in age, occupation, income, education, personality, values and lifestyle, which also determine their different consumption patterns. Therefore, for the trust of wearable services, the...
This article proposes an adversarial reconstruction convolution neural network (ARCNN) for non-uniform illumination frontal face image recovery and recognition. The proposed ARCNN includes a reconstruction network and a...
In this chapter, the authors propose to use contextual Word2Vec model for understanding OOV (out of vocabulary). The OOV is extracted by using left-right entropy and point information entropy. They choose to use Word2Vec to...
In response to the COVID-19 outbreak, the governments of different countries adopted, such as locking down cities and restricting travel and social contact. Online health communities (OHCs) with specialized physicians have...
With the increasing number of camera networks deployed in public places, intelligent video processing has become a key technology for video surveillance. In order to alleviate the workload of the tracers in the artificial...
Considering the limited sample size of rare and endangered plant leaves and the issue that leaf identification is mainly conducted using mobile smart devices and other technology with low computing power, this paper proposes a...
With the increasing demand on smart agriculture, the effective growth of a plant and increase its productivity are essential. To increase the yield and productivity, monitoring of a plant during its growth till its harvesting is...
Video-based person re-identification (re-id) has recently attracted widespread attentions because extra space-time information and more appearance cues in videos can be used to improve the performance of image-based person...
The turn of this new century has been witnessing the effort of various leading developed and developing countries in their attempt to materialize next round of industrialization by emphasizing on innovations. To potentially...
This paper takes the listed companies in China from 2008 to 2017 as the research sample to study the relationship between accounting information quality (AIQ) and company innovation investment efficiency. The results show that...
Sentiment classification constitutes an important topic in the field of Natural Language Processing, whose main purpose is to extract the sentiment polarity from unstructured texts. The label propagation algorithm, as a...
The aim of this review was to explore the relevant neurobiology and the association between peripheral levels of brain-derived neurotrophic factor (BDNF) and acute and short to long-term exercise regimes, as well as its relation...
Explosive volcanism is a key contributor to climate variability on interannual to centennial timescales1. Understanding the far-field societal impacts of eruption-forced climatic changes requires firm event...