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Stock Market Forecasting Using Machine Learning Algorithms
TLDR
We propose a new prediction algorithm that exploits the temporal correlation among global stock markets and various financial products to predict the next-day stock trend with the aid of SVM. Expand
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The Driver Has Control: Exploring Driving Performance with Varying Automation Capabilities
As vehicle automation becomes more capable and prevalent, an understanding of how drivers will interact with automation systems of varying capabilities will be of critical importance. In this study,Expand
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Extracting patterns of behavior from a network of binary sensors
TLDR
We use passive infrared sensors to track occupants for extended durations in their homes in order to extract and track various behavioral patterns inorder to identify atypical activities. Expand
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Characterization and Edge Sign Prediction in Signed Networks
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Data Fusion with a Dense Sensor Network for Anomaly Detection in Smart Homes
TLDR
We use a network of motion detectors in a smart home to extract patterns of behavior and classify them as either typical or atypical. Expand
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Learning movement patterns of the occupant in smart home environments: an unsupervised learning approach
TLDR
In recent years, the concept of smart homes and smart buildings have gradually emerged as mainstream with the development of sensor technology and the introduction of several commercial solutions. Expand
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A look at task-switching and multi-tasking behaviors: From the perspective of the computer usage among a large number of people
TLDR
The task-switching behavior study was performed on a big data set with 3000 subjects. Expand
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Concurrent activation events based trajectory propagation in smart environments
TLDR
In the past 10 years, the concept of smart homes and buildings has become progressively mainstream with the introduction of several commercial solutions and available sensor technologies. Expand
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Are They Paying Attention? A Model-Based Method to Identify Individuals' Mental States
TLDR
In a global economy, online meeting participants often have different backgrounds, making it difficult to know their mental and physical states. Expand
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Syntool: A Novel Region-Based Intolerance Score to Single Nucleotide Substitution for Synonymous Mutations Predictions Based on 123,136 Individuals
Background Synonymous mutation is the single nucleotide change that does not cause an amino acid change but can affect the rate and efficiency of translation. So recent increase in our knowledge hasExpand
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