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Artificial Intelligence and Robotics Commons™
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- Beaked whale (1)
- Bioinformatics (1)
- Biosonar (1)
- Classification (1)
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- Feedforward neural network (1)
- Fractal dimension (1)
- Indexter, computational models of narrative, salience, planning, artificial intelligence, interactive storytelling (1)
- Intrinsically Disordered Protein (1)
- Large-Scale Data Analysis (1)
- Machine Learning (1)
- Passive acoustic monitoring (1)
- Planning, Classical Planning, Narrative Planning, virtual environment, virtual reality, presence (1)
- Predictor Framework (1)
- Protein-Protein Interaction (1)
Articles 1 - 4 of 4
Full-Text Articles in Artificial Intelligence and Robotics
Automated Species Classification Methods For Passive Acoustic Monitoring Of Beaked Whales, John Lebien
Automated Species Classification Methods For Passive Acoustic Monitoring Of Beaked Whales, John Lebien
University of New Orleans Theses and Dissertations
The Littoral Acoustic Demonstration Center has collected passive acoustic monitoring data in the northern Gulf of Mexico since 2001. Recordings were made in 2007 near the Deepwater Horizon oil spill that provide a baseline for an extensive study of regional marine mammal populations in response to the disaster. Animal density estimates can be derived from detections of echolocation signals in the acoustic data. Beaked whales are of particular interest as they remain one of the least understood groups of marine mammals, and relatively few abundance estimates exist. Efficient methods for classifying detected echolocation transients are essential for mining long-term passive …
Machine Learning Based Protein Sequence To (Un)Structure Mapping And Interaction Prediction, Sumaiya Iqbal
Machine Learning Based Protein Sequence To (Un)Structure Mapping And Interaction Prediction, Sumaiya Iqbal
University of New Orleans Theses and Dissertations
Proteins are the fundamental macromolecules within a cell that carry out most of the biological functions. The computational study of protein structure and its functions, using machine learning and data analytics, is elemental in advancing the life-science research due to the fast-growing biological data and the extensive complexities involved in their analyses towards discovering meaningful insights. Mapping of protein’s primary sequence is not only limited to its structure, we extend that to its disordered component known as Intrinsically Disordered Proteins or Regions in proteins (IDPs/IDRs), and hence the involved dynamics, which help us explain complex interaction within a cell that …
Predicting User Choices In Interactive Narratives Using Indexter's Pairwise Event Salience Hypothesis, Rachelyn Farrell
Predicting User Choices In Interactive Narratives Using Indexter's Pairwise Event Salience Hypothesis, Rachelyn Farrell
University of New Orleans Theses and Dissertations
Indexter is a plan-based model of narrative that incorporates cognitive scientific theories about the salience—or prominence in memory—of narrative events. A pair of Indexter events can share up to five indices with one another: protagonist, time, space, causality, and intentionality. The pairwise event salience hypothesis states that when a past event shares one or more of these indices with the most recently narrated event, that past event is more salient, or easier to recall, than an event which shares none of them. In this study we demonstrate that we can predict user choices based on …
Measuring Presence In A Police Use Of Force Simulation, Dharmesh Rajendra Desai
Measuring Presence In A Police Use Of Force Simulation, Dharmesh Rajendra Desai
University of New Orleans Theses and Dissertations
We have designed a simulation that can be used to train police officers. Digital simulations are more cost-effective than a human role play. Use of force decisions are complex and made quickly, so there is a need for better training and innovative methods. Using this simulation, we are measuring the degree of presence that a human experience in a virtual environment. More presence implies better training. Participants are divided into two groups in which one group performs the experiment using a screen, keyboard, and mouse, and another uses virtual reality controls. In this experiment, we use subjective measurements and physiological …