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Full-Text Articles in Computer Engineering
Depressiongnn: Depression Prediction Using Graph Neural Network On Smartphone And Wearable Sensors, Param Bidja
Depressiongnn: Depression Prediction Using Graph Neural Network On Smartphone And Wearable Sensors, Param Bidja
Honors Scholar Theses
Depression prediction is a complicated classification problem because depression diagnosis involves many different social, physical, and mental signals. Traditional classification algorithms can only reach an accuracy of no more than 70% given the complexities of depression. However, a novel approach using Graph Neural Networks (GNN) can be used to reach over 80% accuracy, if a graph can represent the depression data set to capture differentiating features. Building such a graph requires 1) the definition of node features, which must be highly correlated with depression, and 2) the definition for edge metrics, which must also be highly correlated with depression. In …
Data To Decisions For Cyberspace Operations, Steve Stone
Data To Decisions For Cyberspace Operations, Steve Stone
Military Cyber Affairs
In 2011, the United States (U.S.) Department of Defense (DOD) named cyberspace a new operational domain. The U.S. Cyber Command and the Military Services are working to make the cyberspace environment a suitable place for achieving national objectives and enabling military command and control (C2). To effectively conduct cyberspace operations, DOD requires data and analysis of the Mission, Network, and Adversary. However, the DOD’s current data processing and analysis capabilities do not meet mission needs within critical operational timelines. This paper presents a summary of the data processing and analytics necessary to effectively conduct cyberspace operations.
Analysis Of Eye Tracking Data Obtained By Customers’ Product Evaluations, Shweta Sanjay Sareen
Analysis Of Eye Tracking Data Obtained By Customers’ Product Evaluations, Shweta Sanjay Sareen
Open Access Theses
Within the mechanical engineering discipline, product representational studies have been used to inform engineers on the suitability of their product designs for prospective customers. Mainly based in customers' oral responses, engineers would modify the product design accordingly. The incorporation of eye tracking data, in addition to the oral responses, in these product representational studies is a recent addition. This case study performs data analysis of a product representational study conducted by Reid, MacDonald and Du (2012), which considers the impact of 2D and 3D product representation on customer judgments with associated eye gaze patterns. The aim of this thesis is …