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Models of Intention for Human-Robot Interaction
As demand for robots grows in non-industrial settings, there is acorresponding need to develop systems that engage with humans ona social level. A key component of this social interaction is theprocess of inferring humans' ...
Deep Convolutional Neural Networks for MultilabelPrediction Using RGBD Data
Robotics relies heavily on the system's ability to perceive the world around the robot accurately and quickly. In a narrow setting as in manufacturing this goal is relatively simple. To make robotics feasible in more ...
Clinical Dataset Analysis and Patient Outcome Prediction via Machine Learning
We analyze and evaluate relevant machine learning methods for use in extract-ing and understanding clinical data sets in the context of optimization ofclinical processes. Three data sets were considered to demonstrate the ...
Solutions for Improving Model Simulation in the Virtual Watershed Platform
This thesis is a collage of the works implemented to enhance the modeling capabilities of the NSF EPSCoR-supported Western Consortium for Water Analysis, Visualization and Exploration (WC-WAVE) Virtual Watershed Project. ...
Machine Learning based Mountainous Skyline Detection and Visual Geo-Localization
With the ubiquitous availability of geo-tagged imagery and increased computational power, geo-localization has captured a lot of attention from researchers in computer vision and image retrieval communities. Significant ...
Network Traffic Fingerprinting using Machine Learning and Evolutionary Computing
The Internet has become essential to our daily life, especially with a multitude of IoT devices. However, the end hosts connected to the Internet are prone to be compromised. An essential measure for protecting attacks on ...