Search results | J. Murrey Atkins Library

Title: Robust Audio Classification: Integrating TV Sound Detection
Author: Bourahla, Mohamed Mehdi
Date Created: 2023
Subjects--Topical: Artificial intelligence, Sound
Description: The emergence of voice-controlled systems has transformed the way users engage with technology, providing unparalleled ease and accessibility. Nonetheless, these systems encounter difficulties in distinguishing intended commands from unintentional...

Title: Short Term Ex-ante Load Forecasting
Author: Li, Yike
Date Created: 2022
Subjects--Topical: Statistics
Description: Short-term load forecasting (STLF) is a conventional process at power companies to serve for better decision-making in their daily operations. Weather factors play a key role in STLF. In practice, an online STLF system typically requires the use o...

Title: Structural Learning for Large Scale Image Classification
Author: Shen, Yi
Date Created: 2013
Subjects--Topical: Computer science
Description: To leverage large-scale collaboratively-tagged (loosely-tagged) images for training a large number of classifiers to support large-scale image classification, we need to develop new frameworks to deal with the following issues: (1) spam tags, i.e....

Title: Supervised Projective Learning for Electroencephalography Analysis
Author: Grear, Tyler
Date Created: 2021
Subjects--Topical: Physics
Description: The brain-computer interface has emerged as a promising field of research with the capacity to significantly transform multiple technological sectors. The imagining of limb movement known as motor imagery (MI) serves as an auspicious paradigm for ...

Title: Surface Integrity in Diamond Machining Germanium For Infrared Optics
Author: Sizemore, Nicholas
Date Created: 2020
Subjects--Topical: Mechanical engineering
Description: Ultra-precision manufacturing is a deterministic method of producing optical-grade components. Continuous and interrupted machining operations are the main focus of this research with the goal of improving the manufacturing community’s knowledge. ...

Title: THE USE OF MACHINE LEARNING METHOD FOR MODELING AND ANALYZING PEDESTRIAN CRASH DATA AND COMPARISONS WITH TRADITIONAL DISCRETE CHOICE METHODS
Author: Li, Yang
Date Created: 2021
Subjects--Topical: Transportation
Description: As one of the most vulnerable entity within the transportation system, pedestrians might face more dangers and sustain severer injuries in the traffic crashes than others. The safety of pedestrians is particularly critical within the context of co...

Title: The Learning Facade
Author: MacKnight, Paul
Date Created: 2018
Subjects--Topical: Information technology, Architecture
Description: Despite the rising popularity and utilization of intelligent systems, much of thebuilt environment, especially architecture, remains prescriptive or responsive in nature.Kinetic facades, especially, still rely on the analysis of historic or approx...

Title: Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Machine Learning Approaches
Author: Qiu, Bo
Date Created: 2021
Subjects--Topical: Civil engineering, Transportation, Statistics
Description: Metropolitan areas suffer from frequent road traffic congestion not only during peak hours but also during off-peak periods. Currently, the increasing availability of vehicle probe data has made the real-time travel time prediction a reality. The ...

Title: USE OF GANG MEMBER SOCIAL MEDIA POSTINGS TO DETECT VIOLENT CRIME
Author: Fowler, Sherry
Date Created: 2020
Subjects--Topical: Computer science, Criminology
Description: Many large cities in the U.S. have a problem with violent crime, some of which is committed by gang affiliates. Those individuals use social media platforms like Twitter to express messages of loss and aggression, which can grow in volume and diss...

Title: USE OF MULTISENSOR DATA IN MODELING FREEWAY TRAVEL TIME: VARIABILITY ANALYSIS AND PREDICTION
Author: Chen, Zhen
Date Created: 2019
Subjects--Topical: Transportation
Description: Nowadays anonymous vehicle probe data have been greatly improved in both data coverage and data fidelity. Thus, vehicle probe data have become a reliable source for freeway travel time analysis. The travel time variability is highly complex as it ...

Title: Understanding the plight of Covid-19 Long Haulers through Computational Analysis of YouTube Content
Author: Jordan, Alexis
Date Created: 2022
Subjects--Topical: Computer science
Description: The coronavirus pandemic is a pervasive event that has had a drastic impact on countries globally. In the United States alone there have been over 98 million Covid-19 cases and over 1 million deaths. One consequence of Covid-19 infection has been ...