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Article
Open AccessElectrical impedance tomography provides information of brain injury during total aortic arch replacement through its correlation with relative difference of neurological biomarkers
Postoperative neurological dysfunction (PND) is one of the most common complications after a total aortic arch replacement (TAAR). Electrical impedance tomography (EIT) monitoring of cerebral hypoxia injury du...
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Article
Rapid detection of non-normal teeth on dental X-ray images using improved Mask R-CNN with attention mechanism
Dental health has been getting increased attention. Timely detection of non-normal teeth (caries, residual root, retainer, teeth filling, etc.) is of great importance for people’s health, well-being, and quali...
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Chapter and Conference Paper
Profiting from High Frequency Market Psychology Data with Deep Learning
It is challenging to predict financial markets, but there have been continued efforts to develop improved prediction methods
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Chapter and Conference Paper
A Deep Learning Framework with Pruning RoI Proposal for Dental Caries Detection in Panoramic X-ray Images
Dental caries is a prevalent noncommunicable disease that affects over half of the global population. It can significantly diminish individuals’ quality of life by impairing their eating and socializing abilit...
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Chapter and Conference Paper
R2P: A Deep Learning Model from mmWave Radar to Point Cloud
Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation systems. In this paper, we in...
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Article
Co-Detection of crowdturfing microblogs and spammers in online social networks
The rise of online crowdsourcing services has prompted an evolution from traditional spamming accounts, which spread unwanted advertisements and fraudulent content, into novel spammers that resemble those of n...
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Article
Analysis of and defense against crowd-retweeting based spam in social networks
Social networking websites with microblogging functionality, such as Twitter or Sina Weibo, have emerged as popular platforms for discovering real-time information on the Web. Like most Internet services, thes...
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Article
Open AccessCombing signal processing methods with algorithm priori information to produce synergetic improvements on continuous imaging of brain electrical impedance tomography
Dynamic electrical impedance tomography (EIT) promises to be a valuable technique for monitoring the development of brain injury. But in practical long-term monitoring, noise and interferences may cause insuff...
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Article
Design of reciprocal recommendation systems for online dating
Online dating sites have become popular platforms for people to look for potential romantic partners. Different from traditional user-item recommendations where the goal is to match items (e.g., books, videos)...
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Article
Open AccessDisjoint multi mobile agent itinerary planning for big data analytics
Sensor networks are often part of a cyber-physical system. A large-scale sensor network often involves big data collection and data fusion. The agent technology has drawn much attention in wireless sensor netw...
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Article
Open AccessHandling big data of online social networks on a small machine
Dealing with big data in computational social networks may require powerful machines, big storage, and high bandwidth, which may seem beyond the capacity of small labs. We demonstrate that researchers with lim...
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Chapter and Conference Paper
On Computing Multi-Agent Itinerary Planning in Distributed Wireless Sensor Networks
The agent technology has been widely used in wireless sensor networks to perform data fusion and energy balancing. Existing multi-agent itinerary algorithms are either time-consuming, or too complicated to rea...
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Chapter
Barrier Coverage: Foundations and Design
The coverage of a wireless sensor network (WSN) characterizes the quality of surveillance that the WSN can provide. A deep understanding of the coverage is of great importance for the deployment, design, and p...
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Chapter
Characterization of User Online Dating Behavior and Preference on a Large Online Dating Site
Online dating sites have become popular platforms for people to look for romantic partners, providing an unprecedented level of access to potential dates that is otherwise not available through traditional mea...
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Chapter and Conference Paper
Optimizing Aggregate Query Processing in Cloud Data Warehouses
In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema. Existing aggregate que...
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Chapter and Conference Paper
Finding Network Communities Using Random Walkers with Improved Accuracy
Finding communities in structural networks (online social networks included) with sufficient accuracy is an important issue. We present a new method to identify communities that are in the same order of time c...
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Chapter and Conference Paper
Online Social Networks Flu Trend Tracker: A Novel Sensory Approach to Predict Flu Trends
Seasonal influenza epidemics cause several million cases of illnesses cases and about 250,000 to 500,000 deaths worldwide each year. Other pandemics like the 1918 “Spanish Flu” may change into devastating even...
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Reference Work Entry In depth
Optimization Problems in Online Social Networks
This chapter introduces and elaborates four major issues in online social networks. First, it describes the problem of maximizing the spread of influence in social networks and the problem of computing the spr...
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Chapter and Conference Paper
Aerial Localization with Smartphone
This paper presents how we applied a smartphone for aerial localization. We have developed a fully functional aerial localization system HAWK and reported preliminary results in a related paper. In this paper, we...
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Chapter
Double Pareto Lognormal Distributions in Complex Networks
This article elaborates the mathematical concept of double Pareto lognormal distribution and provides an overview of complex networks and natural phenomena that exhibit double Pareto lognormal distributions. T...