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A Historic American Landscape Survey for the North Dakota State University Campus (2022 Gunlogson Presentation)
(North Dakota State University. Libraries, 4/21/2022)
Presented by: Anna Maria Visilia, Associate Professor, Department of Landscape Architecture and Dominic Fischer, Associate Professor and Chair, Department of Landscape Architecture
Applying Unsupervised Machine Learning to Counterterrorism
(2022)
To advance the agenda in counterterrorism, this work demonstrates how analysts can combine unsupervised machine learning, exploratory data analysis, and statistical tests to discover features associated with different ...
Characterizing Ride Quality With a Composite Roughness Index
(2022)
There are many important applications that require ride quality characterization. However, the only international standard that specifies a roughness index is not suitable for applications beyond assessing the ride quality ...
Detecting Sources of Ride Roughness by Ensemble Connected Vehicle Signals
(2022)
It is expensive and impractical to scale existing methods of road condition monitoring for more frequent and network-wide coverage. Consequently, defects that increase ride roughness or can cause accidents will go undetected. ...
An Application of Natural Language Processing to Classify What Terrorists Say They Want
(2022)
Knowing what perpetrators want can inform strategies to achieve safe, secure, and sustainable societies. To help advance the body of knowledge in counterterrorism, this research applied natural language processing and ...
Using Artificial Intelligence to Derive a Public Transit Risk Index
(2022)
A terrorist attack on the public transportation system of a city can cripple its economy. Uninformed investments in countermeasures may result in a waste of resources if the risk is negligible. However, risks are difficult ...
Technology Developments and Impacts of Connected and Autonomous Vehicles: An Overview
(2022)
The scientific advancements in the vehicle and infrastructure automation industry are progressively improving nowadays to provide benefits for the end-users in terms of traffic congestion reduction, safety enhancements, ...
Exploratory Spatial Data Analysis of Traffic Forecasting: A Case Study
(2022)
Transportation planning has historically relied on statistical models to analyze travel patterns across space and time. Recently, an urgency has developed in the United States to address outdated policies and approaches ...
Remediation Ranking of High Crash Fatality Locations Involving Older Drivers in Florida's Rural Counties
(2022)
In 2019, Florida's aging road users (65 years or older) accounted for 20% of the population but 37% of all crashes. Florida Department of Transportation has identified aging road users as one of the areas that requires ...
Vehicle Axle Detection from Under-Sampled Signal through Compressed-Sensing-Based Signal Recovery
(2022)
In traffic data collection, sampling design should satisfy the requirements of identifying prominent pulses corresponding to vehicle axle passage. Insufficient measurement leads to signal distortion and attenuation, reducing ...