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Full-Text Articles in Physical Sciences and Mathematics
An Approach To Twitter Event Detection Using The Newsworthiness Metric, Jonathan Adkins
An Approach To Twitter Event Detection Using The Newsworthiness Metric, Jonathan Adkins
CCE Theses and Dissertations
No abstract provided.
A Hierarchical Temporal Memory Sequence Classifier For Streaming Data, Jeffrey Barnett
A Hierarchical Temporal Memory Sequence Classifier For Streaming Data, Jeffrey Barnett
CCE Theses and Dissertations
Real-world data streams often contain concept drift and noise. Additionally, it is often the case that due to their very nature, these real-world data streams also include temporal dependencies between data. Classifying data streams with one or more of these characteristics is exceptionally challenging. Classification of data within data streams is currently the primary focus of research efforts in many fields (i.e., intrusion detection, data mining, machine learning). Hierarchical Temporal Memory (HTM) is a type of sequence memory that exhibits some of the predictive and anomaly detection properties of the neocortex. HTM algorithms conduct training through exposure to a stream …
Detecting Rogue Manipulation Of Smart Home Device Settings, David Zeichick
Detecting Rogue Manipulation Of Smart Home Device Settings, David Zeichick
CCE Theses and Dissertations
Smart home devices control a home’s environmental and security settings. This includes devices that control home thermostats, sprinkler systems, light bulbs, and home appliances. Malicious manipulation of the settings of these devices by an outside adversary has caused emotional distress and could even cause physical harm. For example, researchers have reported that there is a rise in domestic abuse perpetrated via smart home devices; victims have reported their thermostat settings being unwittingly manipulated and being locked out of their house due to their smart lock code being changed. Rapid adoption of smart home devices by consumers has led to an …