Simultaneous Analysis of Multiple Big Data Networks: Graph-Mapping in a Data Model

A Publication, Big data: simultaneous Multi-Graph network analysis - 4 years, 4 months ago

Shared By: Ahmad karawash

Temp

A Publication, Dash-link-Dir - 4 years, 9 months ago

Shared By: Ricky Vargas

Testing the Dash link website at the current moment.

Anomaly Detection in Aviation Data using Extreme Learning Machines

A Publication, Fast anomaly detection - 7 years, 4 months ago

Shared By: Vijay Manikandan Janakiraman

We develop fast anomaly detection algorithms using extreme learning machines (ELM) to discover operationally significant anomalies in large aviation data sets. Anomaly detection (aka one-class ...

Discovery of Precursors to Adverse Events using Time Series Data

A Publication, Discovering Precursors to Adverse Events in Time Series - 7 years, 10 months ago

Shared By: Vijay Manikandan Janakiraman

We develop an algorithm for automatic discovery of precursors in time series data (ADOPT). In a time series setting, a precursor may be considered as ...

Identifying Precursors to Anomalies Using Inverse Reinforcement Learning

A Publication, Discovering Precursors to Adverse Events in Time Series - 8 years ago

Shared By: Vijay Manikandan Janakiraman

In this paper, we consider the problem of discovering candidate precursors to anomalies in a set of time sequenced data. Typical scenarios involving time sequential ...

Identifying Contributing Factors of Occupant Thermal Discomfort in a Smart Building

A Publication, Sustainability Base - 8 years, 2 months ago

Shared By: RODNEY MARTIN

Modeling occupant behavior in smart buildings to reduce energy usage in a more accurate fashion has garnered much recent attention in the literature. Predicting occupant ...

Scalable Causal Learning for Predicting Adverse Events in Smart Buildings

A Publication, Sustainability Base - 8 years, 2 months ago

Shared By: RODNEY MARTIN

Emerging smart buildings, such as the NASA Sustainability Base (SB), have a broad range of energy-related systems, including systems for heating and cooling. While the ...

Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 10 years ago

Shared By: Nikunj Oza

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...

Energy Analysis of Multi-Function Devices in an Office Environment

A Publication, Sustainability Base - 10 years, 2 months ago

Shared By: RODNEY MARTIN

As part of an effort to monitor electricity usage by plug loads in a new high performance office building, plug load management devices were deployed ...

Comparison of Algorithms for Anomaly Detection in Flight Recorder Data of Airline Operations

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 11 years, 4 months ago

Shared By: Santanu Das

Published at 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSM 17 - 19 September 2012, Indianapolis, Indiana